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 Series Title: NOT IN LABOR FORCE 62-64 yrs. White Female: NSA (Thousands)
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 2003 02  211717·
 2003 01  961699.
 2002 12 161756·
 2002 11 761762.
 2002 10 991826.
 2002 09 61788.
 2002 08 221840.
 2002 07 21845.
 2002 06 811855·
 2002 05 521810·
 2002 04 671819.
 2002 03 641816.
 2002 02 171828·
 2002 01 161808·
 2001 12  641777·
 2001 11  61810.
 2001 10  831736.
 2001 09  41823.
 2001 08  491804.
 2001 07  981849.
 2001 06  791832.
 2001 05  481746.
 2001 04  871696.
 2001 03  331734.
 2001 02  301772·
 2001 01  41828·
 2000 12 641823.
 2000 11 311831.
 2000 10 871826·
 2000 09 551808·
 2000 08 951856.
 2000 07 361854·
 2000 06 261811.
 2000 05 61850·
 2000 04 161852·
 2000 03 171845·
 2000 02 451855·
 2000 01 901863·
 1999 12  901846.
 1999 11  681826·
 1999 10  721799·
 1999 09  631770·
 1999 08  71788·
 1999 07  81834.
 1999 06  561822.
 1999 05  61821.
 1999 04  781803.
 1999 03  811745.
 1999 02  731776·
 1999 01  271731·
 1998 12 411703·
 1998 11 581717·
 1998 10 231750.
 1998 09 571748.
 1998 08 591797·
 1998 07 311853·
 1998 06 321801.
 1998 05 531792·
 1998 04 201771·
 1998 03 201735·
 1998 02 491747.
 1998 01 961739.
 1997 12  381707.
 1997 11  681708·
 1997 10  511703.
 1997 09  931767.
 1997 08  491752·
 1997 07  461788.
 1997 06  371724.
 1997 05  751708.
 1997 04  171687.
 1997 03  471689·
 1997 02  341755·
 1997 01  01772·
 1996 12 301722.
 1996 11 911758.
 1996 10 911772·
 1996 09 491786.
 1996 08 01845·
 1996 07 211811.
 1996 06 841793·
 1996 05 281759.
 1996 04 651809·
 1996 03 71727.
 1996 02 131748.
 1996 01 691777.
 1995 12  891807·
 1995 11  431760.
 1995 10  41730·
 1995 09  291767.
 1995 08  601781·
 1995 07  481877.
 1995 06  71853·
 1995 05  891803·
 1995 04  891832·
 1995 03  651870·
 1995 02  971878·
 1995 01  571841·
 1994 12 151877·
 1994 11 651843·
 1994 10 751892.
 1994 09 631873.
 1994 08 11914·
 1994 07 421906·
 1994 06 661870.
 1994 05 641826.
 1994 04 351842.
 1994 03 141848.
 1994 02 211866.
 1994 01 431892.
 1993 12  301901·
 1993 11  251867·
 1993 10  151879.
 1993 09  51845·
 1993 08  231877·
 1993 07  461962.
 1993 06  481891.
 1993 05  821875·
 1993 04  781923·
 1993 03  691911.
 1993 02  461937.
 1993 01  321969.
 1992 12 821983.
 1992 11 151963·
 1992 10 601969·
 1992 09 351960·
 1992 08 482041·
 1992 07 272064·
 1992 06 632059.
 1992 05 982089.
 1992 04 152036.
 1992 03 742014.
 1992 02 582036.
 1992 01 521994·
 1991 12  442005·
 1991 11  511985.
 1991 10  691978·
 1991 09  561983.
 1991 08  252027.
 1991 07  762064·
 1991 06  472062·
 1991 05  892115.
 1991 04  692098.
 1991 03  942082.
 1991 02  672114·
 1991 01  592069.
 1990 12 152017.
 1990 11 742029·
 1990 10 292029·
 1990 09 982037.
 1990 08 252054·
 1990 07 102081·
 1990 06 602068·
 1990 05 621995.
 1990 04 882082·
 1990 03 222058·
 1990 02 82070.
 1990 01 322083·
 1989 12  162040·
 1989 11  532020.
 1989 10  512063·
 1989 09  152075.
 1989 08  482079.
 1989 07  722076·
 1989 06  872082·
 1989 05  442081.
 1989 04  452085·
 1989 03  742113·
 1989 02  432150.
 1989 01  742154.
 1988 12 972166·
 1988 11 782160.
 1988 10 692141.
 1988 09 872148·
 1988 08 162159·
 1988 07 272154·
 1988 06 402137·
 1988 05 912133.
 1988 04 392156·
 1988 03 922179·
 1988 02 562221.
 1988 01 152201.
 1987 12  302166.
 1987 11  662181.
 1987 10  442167·
 1987 09  182186.
 1987 08  772210.
 1987 07  682185.
 1987 06  532156.
 1987 05  812157·
 1987 04  922189.
 1987 03  432196·
 1987 02  592243.
 1987 01  102245·
 1986 12 142238.
 1986 11 592214.
 1986 10 622205·
 1986 09 372213.
 1986 08 52174·
 1986 07 122189·
 1986 06 882133·
 1986 05 192155·
 1986 04 532181.
 1986 03 192177·
 1986 02 862202·
 1986 01 382198·
 1985 12  712152.
 1985 11  252168·
 1985 10  332177·
 1985 09  992192·
 1985 08  972204·
 1985 07  992178·
 1985 06  292170.
 1985 05  352156·
 1985 04  932176·
 1985 03  362195·
 1985 02  992208·
 1985 01  22189·
 1984 12 492192·
 1984 11 542187·
 1984 10 932160.
 1984 09 822159.
 1984 08 762219.
 1984 07 982201·
 1984 06 882194.
 1984 05 822169·
 1984 04 132180.
 1984 03 362213·
 1984 02 822216.
 1984 01 332213·
 1983 12  222155·
 1983 11  642150·
 1983 10  32128.
 1983 09  922126.
 1983 08  912182.
 1983 07  992164·
 1983 06  992134.
 1983 05  402132·
 1983 04  342093.
 1983 03  872093.
 1983 02  472079.
 1983 01  842110.
 1982 12 872098.
 1982 11 962105.
 1982 10 472129·
 1982 09 562102·
 1982 08 152102.
 1982 07 202100.
 1982 06 242112·
 1982 05 132091·
 1982 04 42083·
 1982 03 792094.
 1982 02 292107·
 1982 01 352101·
 1981 12  692094·
 1981 11  172125·
 1981 10  372148·
 1981 09  312137.
 1981 08  452140·
 1981 07  32127·
 1981 06  492075.
 1981 05  302028.
 1981 04  982038·
 1981 03  302018.
 1981 02  892052.
 1981 01  912028·
 1980 12 132013·
 1980 11 192000.
 1980 10 82015·
 1980 09 942007.
 1980 08 52000·
 1980 07 132037·
 1980 06 822009·
 1980 05 462006·
 1980 04 111999.
 1980 03 821982.
 1980 02 112005·
 1980 01 801997·
 1979 12  951968·
 1979 11  191994.
 1979 10  211979·
 1979 09  501987.
 1979 08  432029·
 1979 07  442042.
 1979 06  612025.
 1979 05  401982.
 1979 04  691984.
 1979 03  11950·
 1979 02  71948·
 1979 01  561967·
 1978 12 111959.
 1978 11 581965.
 1978 10 601989·
 1978 09 291979·
 1978 08 312030·
 1978 07 112019·
 1978 06 452018.
 1978 05 171998.
 1978 04 181966.
 1978 03 791973.
 1978 02 131976.
 1978 01 01947.
 1977 12  851946.
 1977 11  41938.
 1977 10  381942·
 1977 09  851959.
 1977 08  692037.
 1977 07  572041.
 1977 06  212023·
 1977 05  51952.
 1977 04  331943.
 1977 03  321928.
 1977 02  881923·
 1977 01  151934·
 1976 12 651941.
 1976 11 481980·
 1976 10 881976·
 1976 09 971981·
 1976 08 781971·
 1976 07 491958.
 1976 06 981957·
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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 62-64 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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