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 Series Title: NOT IN LABOR FORCE 62-64 yrs. 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  32086.
 2003 01  282050.
 2002 12 652074.
 2002 11 222104·
 2002 10 332172.
 2002 09 312136.
 2002 08 552199·
 2002 07 722202.
 2002 06 292195.
 2002 05 322168·
 2002 04 462147·
 2002 03 202146.
 2002 02 422149.
 2002 01 132160.
 2001 12  502137·
 2001 11  112180·
 2001 10  472102·
 2001 09  812185.
 2001 08  62156.
 2001 07  132202·
 2001 06  452198.
 2001 05  672064.
 2001 04  762011·
 2001 03  222048.
 2001 02  602116.
 2001 01  282163.
 2000 12 492164.
 2000 11 562183.
 2000 10 442173.
 2000 09 462173·
 2000 08 382251.
 2000 07 602245·
 2000 06 712220.
 2000 05 282238.
 2000 04 802229.
 2000 03 22191·
 2000 02 432194.
 2000 01 42189.
 1999 12  372130.
 1999 11  762137.
 1999 10  842103·
 1999 09  322083.
 1999 08  992156·
 1999 07  32198.
 1999 06  452178·
 1999 05  932167.
 1999 04  782115·
 1999 03  252073.
 1999 02  12095·
 1999 01  932054.
 1998 12 111999.
 1998 11 122010·
 1998 10 532058.
 1998 09 662057.
 1998 08 632119·
 1998 07 592151·
 1998 06 252110·
 1998 05 662084.
 1998 04 202053.
 1998 03 842016·
 1998 02 702020.
 1998 01 772029·
 1997 12  951987·
 1997 11  311976.
 1997 10  611998·
 1997 09  42022·
 1997 08  272030.
 1997 07  702084.
 1997 06  992036.
 1997 05  782016·
 1997 04  781993.
 1997 03  952012.
 1997 02  102064·
 1997 01  582039.
 1996 12 362008·
 1996 11 252037·
 1996 10 432052.
 1996 09 242096·
 1996 08 142145.
 1996 07 42126.
 1996 06 762109.
 1996 05 832067·
 1996 04 502122·
 1996 03 12019.
 1996 02 72035.
 1996 01 672058.
 1995 12  72075·
 1995 11  102035·
 1995 10  621997·
 1995 09  312051.
 1995 08  732078.
 1995 07  512164·
 1995 06  912142.
 1995 05  592072.
 1995 04  602089·
 1995 03  672154·
 1995 02  712154·
 1995 01  572129·
 1994 12 72172.
 1994 11 282132·
 1994 10 12186·
 1994 09 552182.
 1994 08 762233.
 1994 07 292196.
 1994 06 62148.
 1994 05 112085·
 1994 04 562077.
 1994 03 872077·
 1994 02 382137·
 1994 01 72174·
 1993 12  592211·
 1993 11  472175.
 1993 10  712186.
 1993 09  492135.
 1993 08  222176.
 1993 07  792265.
 1993 06  62181·
 1993 05  692167.
 1993 04  102213.
 1993 03  762209·
 1993 02  682225·
 1993 01  232280.
 1992 12 102280.
 1992 11 572268.
 1992 10 82283·
 1992 09 942251·
 1992 08 342330.
 1992 07 682340·
 1992 06 12326.
 1992 05 862379.
 1992 04 212310·
 1992 03 762328·
 1992 02 482355·
 1992 01 342336·
 1991 12  332316.
 1991 11  762285·
 1991 10  732265.
 1991 09  922275.
 1991 08  592344·
 1991 07  882358.
 1991 06  282350·
 1991 05  432382.
 1991 04  112372.
 1991 03  552356·
 1991 02  872387·
 1991 01  932368·
 1990 12 282311·
 1990 11 462330.
 1990 10 512344·
 1990 09 742344.
 1990 08 712334·
 1990 07 562376.
 1990 06 462357.
 1990 05 422275·
 1990 04 302355·
 1990 03 32321.
 1990 02 212332·
 1990 01 802346.
 1989 12  162309.
 1989 11  332302.
 1989 10  532342·
 1989 09  932355·
 1989 08  682373·
 1989 07  132384.
 1989 06  412387.
 1989 05  142373·
 1989 04  482378.
 1989 03  392395·
 1989 02  112422.
 1989 01  992419·
 1988 12 462430.
 1988 11 292450.
 1988 10 142440.
 1988 09 302449.
 1988 08 722454·
 1988 07 272447.
 1988 06 242433.
 1988 05 132424.
 1988 04 662456·
 1988 03 32458.
 1988 02 422506·
 1988 01 802494·
 1987 12  902461.
 1987 11  502482·
 1987 10  942450.
 1987 09  882463·
 1987 08  332499·
 1987 07  892473·
 1987 06  302446·
 1987 05  182433.
 1987 04  62467·
 1987 03  622470.
 1987 02  252542.
 1987 01  772519·
 1986 12 482496.
 1986 11 402489.
 1986 10 802471.
 1986 09 972476.
 1986 08 222441.
 1986 07 152465·
 1986 06 202388.
 1986 05 342425·
 1986 04 152443·
 1986 03 92438·
 1986 02 952463·
 1986 01 692469·
 1985 12  412414·
 1985 11  642419.
 1985 10  812419.
 1985 09  102436·
 1985 08  382450.
 1985 07  492426.
 1985 06  792421.
 1985 05  892402.
 1985 04  682437·
 1985 03  592450·
 1985 02  132466·
 1985 01  612434.
 1984 12 192448·
 1984 11 142429.
 1984 10 342416.
 1984 09 82410.
 1984 08 42475.
 1984 07 562456.
 1984 06 182449·
 1984 05 382415·
 1984 04 612426·
 1984 03 562439·
 1984 02 642450.
 1984 01 812457·
 1983 12  532402.
 1983 11  72392.
 1983 10  992375.
 1983 09  952363.
 1983 08  682430·
 1983 07  282420·
 1983 06  722377·
 1983 05  602374·
 1983 04  192334.
 1983 03  652328.
 1983 02  602328.
 1983 01  852359.
 1982 12 432336·
 1982 11 852327·
 1982 10 612357.
 1982 09 992323·
 1982 08 32316.
 1982 07 832321.
 1982 06 32346.
 1982 05 612326·
 1982 04 882316.
 1982 03 782322·
 1982 02 342347.
 1982 01 502343.
 1981 12  102337.
 1981 11  142358·
 1981 10  312376·
 1981 09  762356·
 1981 08  82363·
 1981 07  612344·
 1981 06  942293.
 1981 05  682247·
 1981 04  432252.
 1981 03  122247·
 1981 02  492277·
 1981 01  832250.
 1980 12 42230.
 1980 11 872215·
 1980 10 452239·
 1980 09 42232.
 1980 08 42229·
 1980 07 302266.
 1980 06 582227·
 1980 05 362220.
 1980 04 812214.
 1980 03 102204·
 1980 02 892223·
 1980 01 122207·
 1979 12  972173·
 1979 11  212191·
 1979 10  632178·
 1979 09  872194·
 1979 08  412244·
 1979 07  822260·
 1979 06  302234·
 1979 05  452184.
 1979 04  252185·
 1979 03  372165·
 1979 02  662161·
 1979 01  902177·
 1978 12 872161.
 1978 11 562170·
 1978 10 702197·
 1978 09 562184.
 1978 08 912225.
 1978 07 332226·
 1978 06 702218·
 1978 05 982193.
 1978 04 232157·
 1978 03 862177·
 1978 02 142185·
 1978 01 992157·
 1977 12  982151.
 1977 11  602143·
 1977 10  782147.
 1977 09  642170.
 1977 08  522255.
 1977 07  242248·
 1977 06  632224·
 1977 05  262138·
 1977 04  492145·
 1977 03  732138·
 1977 02  942144.
 1977 01  412153.
 1976 12 772154·
 1976 11 252186·
 1976 10 212178.
 1976 09 912181·
 1976 08 482165.
 1976 07 242155.
 1976 06 212155·
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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. 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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