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 Series Title: NOT IN LABOR FORCE 60-61 yrs. White Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  351061·
 2003 01  411062.
 2002 12 661104·
 2002 11 761063.
 2002 10 59983.
 2002 09 81009·
 2002 08 161050·
 2002 07 61059·
 2002 06 821063.
 2002 05 51020.
 2002 04 98966·
 2002 03 65934·
 2002 02 52931·
 2002 01 14961.
 2001 12  25977.
 2001 11  99996·
 2001 10  451019·
 2001 09  40983.
 2001 08  35997·
 2001 07  76993.
 2001 06  62994·
 2001 05  171033·
 2001 04  911041·
 2001 03  911028·
 2001 02  291040·
 2001 01  991025·
 2000 12 801007·
 2000 11 621020·
 2000 10 951004.
 2000 09 69998·
 2000 08 16947·
 2000 07 33964.
 2000 06 36990·
 2000 05 341024·
 2000 04 371019.
 2000 03 741001.
 2000 02 521049·
 2000 01 251014.
 1999 12  51006.
 1999 11  801041.
 1999 10  691087.
 1999 09  991046.
 1999 08  9988.
 1999 07  68969.
 1999 06  37980·
 1999 05  38968·
 1999 04  60980.
 1999 03  831050.
 1999 02  311041.
 1999 01  481083·
 1998 12 981070.
 1998 11 951036·
 1998 10 531026·
 1998 09 601051.
 1998 08 841004.
 1998 07 97997.
 1998 06 26977·
 1998 05 32937.
 1998 04 8932·
 1998 03 9962·
 1998 02 3914·
 1998 01 44931·
 1997 12  81887.
 1997 11  74916·
 1997 10  57967.
 1997 09  5944·
 1997 08  41964·
 1997 07  63987·
 1997 06  90988.
 1997 05  45976·
 1997 04  53968·
 1997 03  68960.
 1997 02  26928.
 1997 01  20937·
 1996 12 2967·
 1996 11 10932.
 1996 10 17972·
 1996 09 14939·
 1996 08 3962·
 1996 07 32959·
 1996 06 38969·
 1996 05 32977·
 1996 04 94921.
 1996 03 3922.
 1996 02 88936.
 1996 01 5939·
 1995 12  36943.
 1995 11  18968.
 1995 10  94970.
 1995 09  91958·
 1995 08  18978.
 1995 07  95970.
 1995 06  6950·
 1995 05  71989.
 1995 04  53958.
 1995 03  80921.
 1995 02  99931·
 1995 01  52952.
 1994 12 79929.
 1994 11 40887·
 1994 10 73852·
 1994 09 66905·
 1994 08 58904.
 1994 07 71960·
 1994 06 55903.
 1994 05 68894.
 1994 04 79950.
 1994 03 91942·
 1994 02 94989·
 1994 01 42995.
 1993 12  55980.
 1993 11  44972·
 1993 10  65995.
 1993 09  921000·
 1993 08  23996.
 1993 07  0975·
 1993 06  70968.
 1993 05  52989.
 1993 04  46998.
 1993 03  53986·
 1993 02  331006.
 1993 01  781013·
 1992 12 12990.
 1992 11 211002.
 1992 10 5965·
 1992 09 50978.
 1992 08 34990·
 1992 07 50955.
 1992 06 62960.
 1992 05 77956·
 1992 04 50987.
 1992 03 8968.
 1992 02 31020·
 1992 01 891033·
 1991 12  221053·
 1991 11  881102.
 1991 10  541081.
 1991 09  431106.
 1991 08  401132·
 1991 07  121133·
 1991 06  661083·
 1991 05  221059.
 1991 04  151068.
 1991 03  221063.
 1991 02  131072.
 1991 01  301089·
 1990 12 851081.
 1990 11 871094.
 1990 10 971062·
 1990 09 11082·
 1990 08 141102.
 1990 07 31063.
 1990 06 431089·
 1990 05 911095·
 1990 04 881097.
 1990 03 871082·
 1990 02 01086.
 1990 01 811055·
 1989 12  231098.
 1989 11  841128.
 1989 10  451121·
 1989 09  781144·
 1989 08  541147.
 1989 07  641180·
 1989 06  781185·
 1989 05  141179·
 1989 04  441161.
 1989 03  201159.
 1989 02  241160.
 1989 01  451090.
 1988 12 831131·
 1988 11 721128·
 1988 10 341119·
 1988 09 531172·
 1988 08 821248·
 1988 07 631263·
 1988 06 821235·
 1988 05 451238·
 1988 04 801206·
 1988 03 631217.
 1988 02 701198·
 1988 01 521202.
 1987 12  401209.
 1987 11  671177.
 1987 10  231196.
 1987 09  311232·
 1987 08  491214·
 1987 07  921262.
 1987 06  911253.
 1987 05  641224·
 1987 04  201211.
 1987 03  831238·
 1987 02  491220·
 1987 01  571241.
 1986 12 911226·
 1986 11 101202·
 1986 10 991210·
 1986 09 411233.
 1986 08 251224·
 1986 07 671261·
 1986 06 651275·
 1986 05 741254·
 1986 04 101282.
 1986 03 721300·
 1986 02 971288·
 1986 01 371287·
 1985 12  591279.
 1985 11  691299.
 1985 10  721282·
 1985 09  371292.
 1985 08  91261·
 1985 07  291311·
 1985 06  891285.
 1985 05  51225.
 1985 04  241275.
 1985 03  451236.
 1985 02  741256·
 1985 01  991264·
 1984 12 921284.
 1984 11 361286·
 1984 10 771299·
 1984 09 991298.
 1984 08 251278·
 1984 07 471286.
 1984 06 741270·
 1984 05 121226.
 1984 04 611257.
 1984 03 461250.
 1984 02 651266.
 1984 01 701280.
 1983 12  631277.
 1983 11  271263.
 1983 10  761253·
 1983 09  301237.
 1983 08  201232·
 1983 07  111284·
 1983 06  561286·
 1983 05  731305.
 1983 04  431311·
 1983 03  401276.
 1983 02  821251.
 1983 01  61206.
 1982 12 711235·
 1982 11 851251.
 1982 10 531254.
 1982 09 601247.
 1982 08 671320.
 1982 07 381322·
 1982 06 961320.
 1982 05 931305.
 1982 04 181281.
 1982 03 201274.
 1982 02 591261.
 1982 01 851244.
 1981 12  381248.
 1981 11  751274·
 1981 10  201275·
 1981 09  441302·
 1981 08  641323.
 1981 07  711318·
 1981 06  781296·
 1981 05  11276.
 1981 04  601229·
 1981 03  31238·
 1981 02  581253.
 1981 01  131268·
 1980 12 131303.
 1980 11 891299·
 1980 10 111296·
 1980 09 611251.
 1980 08 351264.
 1980 07 751260.
 1980 06 131227·
 1980 05 521235.
 1980 04 661207·
 1980 03 291208.
 1980 02 631181·
 1980 01 171190·
 1979 12  681175·
 1979 11  461173.
 1979 10  881180.
 1979 09  141182.
 1979 08  281194·
 1979 07  431184·
 1979 06  371171.
 1979 05  241161·
 1979 04  601127·
 1979 03  671129·
 1979 02  861131·
 1979 01  531128.
 1978 12 11134.
 1978 11 851145.
 1978 10 351140.
 1978 09 341145·
 1978 08 151185·
 1978 07 921192·
 1978 06 111167·
 1978 05 221147.
 1978 04 891115.
 1978 03 71121·
 1978 02 621122.
 1978 01 01153·
 1977 12  361154.
 1977 11  751163·
 1977 10  641165·
 1977 09  741152.
 1977 08  941145.
 1977 07  631133·
 1977 06  191131·
 1977 05  761130·
 1977 04  271125.
 1977 03  671106.
 1977 02  511118.
 1977 01  621122·
 1976 12 211097.
 1976 11 61129.
 1976 10 101111·
 1976 09 151156·
 1976 08 901132·
 1976 07 241178·
 1976 06 731157.
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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: NOT IN LABOR FORCE 60-61 yrs. White Female: NSA (Thousands)
   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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