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 Series Title: NOT IN LABOR FORCE 60-61 yrs. Male: NSA (Thousands)
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 2003 02  71814·
 2003 01  95794.
 2002 12 86714·
 2002 11 89720.
 2002 10 76707·
 2002 09 20790·
 2002 08 95798·
 2002 07 5780.
 2002 06 36790·
 2002 05 31751.
 2002 04 92788.
 2002 03 6763.
 2002 02 99740·
 2002 01 9752.
 2001 12  90741.
 2001 11  38749.
 2001 10  43766.
 2001 09  62727·
 2001 08  28736.
 2001 07  70744.
 2001 06  66686.
 2001 05  21697.
 2001 04  68722.
 2001 03  95695.
 2001 02  94713·
 2001 01  42751·
 2000 12 98751·
 2000 11 33755·
 2000 10 79796·
 2000 09 7752·
 2000 08 31748·
 2000 07 27756.
 2000 06 94735.
 2000 05 24734·
 2000 04 4712.
 2000 03 48640.
 2000 02 41659·
 2000 01 22662·
 1999 12  81683.
 1999 11  89649·
 1999 10  46664·
 1999 09  60607.
 1999 08  50636.
 1999 07  69683.
 1999 06  57687.
 1999 05  19720·
 1999 04  23726·
 1999 03  32678.
 1999 02  51668·
 1999 01  4679.
 1998 12 39658.
 1998 11 49622·
 1998 10 29607.
 1998 09 49599·
 1998 08 59670·
 1998 07 11682.
 1998 06 14685·
 1998 05 10657.
 1998 04 73635·
 1998 03 40656.
 1998 02 59650.
 1998 01 68687.
 1997 12  93676.
 1997 11  79665·
 1997 10  38668.
 1997 09  29661.
 1997 08  56683.
 1997 07  96707·
 1997 06  52685.
 1997 05  27658·
 1997 04  27644.
 1997 03  87638·
 1997 02  26645·
 1997 01  16678.
 1996 12 92680.
 1996 11 71669.
 1996 10 10690·
 1996 09 80722.
 1996 08 64673.
 1996 07 91632.
 1996 06 81631·
 1996 05 24604·
 1996 04 82621·
 1996 03 17627·
 1996 02 37636.
 1996 01 80617.
 1995 12  9598.
 1995 11  42612·
 1995 10  5629.
 1995 09  4624.
 1995 08  31630·
 1995 07  87619·
 1995 06  35646·
 1995 05  80659·
 1995 04  63673.
 1995 03  94611·
 1995 02  3646·
 1995 01  12642·
 1994 12 41634·
 1994 11 34621.
 1994 10 8627.
 1994 09 33607·
 1994 08 30617.
 1994 07 1625·
 1994 06 77683.
 1994 05 99641.
 1994 04 16669.
 1994 03 12675·
 1994 02 59649.
 1994 01 93635.
 1993 12  13674·
 1993 11  14669·
 1993 10  31617.
 1993 09  20641.
 1993 08  59637.
 1993 07  74639.
 1993 06  91633.
 1993 05  12615·
 1993 04  16636·
 1993 03  88626·
 1993 02  67614·
 1993 01  26658.
 1992 12 72662·
 1992 11 73697.
 1992 10 7681·
 1992 09 44683·
 1992 08 41641·
 1992 07 75624.
 1992 06 88576·
 1992 05 72582.
 1992 04 60603.
 1992 03 62608·
 1992 02 11615.
 1992 01 41639.
 1991 12  92654.
 1991 11  28627·
 1991 10  99608.
 1991 09  10617·
 1991 08  24596.
 1991 07  93606.
 1991 06  4585.
 1991 05  58567.
 1991 04  71603.
 1991 03  1605.
 1991 02  1620.
 1991 01  93653·
 1990 12 69628.
 1990 11 21644·
 1990 10 91615·
 1990 09 46589.
 1990 08 82575.
 1990 07 47576·
 1990 06 99596·
 1990 05 75615.
 1990 04 97620·
 1990 03 99656·
 1990 02 75623.
 1990 01 60614.
 1989 12  27656·
 1989 11  19643·
 1989 10  95636.
 1989 09  8620.
 1989 08  11646·
 1989 07  78622.
 1989 06  58620·
 1989 05  52633·
 1989 04  11644.
 1989 03  70690.
 1989 02  92695·
 1989 01  47673·
 1988 12 15662·
 1988 11 14662.
 1988 10 45650.
 1988 09 75690·
 1988 08 36696·
 1988 07 53719·
 1988 06 93703.
 1988 05 43680.
 1988 04 12689.
 1988 03 58718·
 1988 02 37695.
 1988 01 82661·
 1987 12  6674·
 1987 11  22638.
 1987 10  2672.
 1987 09  50663.
 1987 08  5689.
 1987 07  64688.
 1987 06  38696·
 1987 05  28641.
 1987 04  22650.
 1987 03  28680.
 1987 02  21705·
 1987 01  22658·
 1986 12 96634·
 1986 11 85646·
 1986 10 52645.
 1986 09 64658.
 1986 08 89654.
 1986 07 27632.
 1986 06 55643.
 1986 05 11671.
 1986 04 90705.
 1986 03 74704.
 1986 02 81734.
 1986 01 44718.
 1985 12  10676.
 1985 11  70643·
 1985 10  5640·
 1985 09  70652·
 1985 08  88646.
 1985 07  84674.
 1985 06  28650.
 1985 05  21659.
 1985 04  88636.
 1985 03  10672.
 1985 02  75677.
 1985 01  53655·
 1984 12 96642·
 1984 11 68661.
 1984 10 97649·
 1984 09 48645·
 1984 08 25665·
 1984 07 2661.
 1984 06 69657·
 1984 05 12648.
 1984 04 14670·
 1984 03 80669.
 1984 02 91639·
 1984 01 78640.
 1983 12  25597.
 1983 11  97588.
 1983 10  89610·
 1983 09  1618·
 1983 08  47635.
 1983 07  73627.
 1983 06  13645·
 1983 05  65649·
 1983 04  92634.
 1983 03  50636.
 1983 02  38620·
 1983 01  74634·
 1982 12 98596·
 1982 11 99614.
 1982 10 65626.
 1982 09 61625·
 1982 08 28642·
 1982 07 13671.
 1982 06 20625.
 1982 05 82629·
 1982 04 70604·
 1982 03 12600.
 1982 02 52635.
 1982 01 19605.
 1981 12  36587·
 1981 11  40600.
 1981 10  37612.
 1981 09  80607·
 1981 08  65609·
 1981 07  65568·
 1981 06  76598.
 1981 05  94593.
 1981 04  20606.
 1981 03  83584·
 1981 02  93557·
 1981 01  19561.
 1980 12 88541·
 1980 11 12566·
 1980 10 40558·
 1980 09 37565.
 1980 08 82546·
 1980 07 95552·
 1980 06 92571.
 1980 05 55554·
 1980 04 41539.
 1980 03 4546.
 1980 02 48561.
 1980 01 3576.
 1979 12  26547.
 1979 11  31554·
 1979 10  35521.
 1979 09  38537.
 1979 08  27542·
 1979 07  96544.
 1979 06  2544.
 1979 05  43521·
 1979 04  55527.
 1979 03  42496.
 1979 02  26513.
 1979 01  24491.
 1978 12 50460·
 1978 11 40472.
 1978 10 6491.
 1978 09 12520.
 1978 08 72525.
 1978 07 83514·
 1978 06 69479.
 1978 05 64512.
 1978 04 12487.
 1978 03 90464·
 1978 02 63485·
 1978 01 62477.
 1977 12  81438.
 1977 11  5438.
 1977 10  66460.
 1977 09  12479.
 1977 08  17496.
 1977 07  98463·
 1977 06  76444.
 1977 05  47439·
 1977 04  83440.
 1977 03  63464.
 1977 02  20464.
 1977 01  22466·
 1976 12 67468·
 1976 11 19446·
 1976 10 48459.
 1976 09 19463.
 1976 08 83497·
 1976 07 9491·
 1976 06 36462.
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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. Male: 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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