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 Series Title: Number At work part-time, usually FT Economicreasons 30-34 hrs 65 yrs. & over Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  8617·
 2003 01  314.
 2002 12 9518·
 2002 11 117·
 2002 10 3919.
 2002 09 3711.
 2002 08 6911.
 2002 07 2614·
 2002 06 8215·
 2002 05 6711.
 2002 04 6910·
 2002 03 6520·
 2002 02 67
 2002 01 113.
 2001 12  828.
 2001 11  7210·
 2001 10  70
 2001 09  479·
 2001 08  2411·
 2001 07  164·
 2001 06  9013·
 2001 05  375.
 2001 04  797·
 2001 03  918.
 2001 02  526.
 2001 01  276·
 2000 12 6213·
 2000 11 1613·
 2000 10 87.
 2000 09 9817.
 2000 08 852·
 2000 07 357.
 2000 06 336·
 2000 05 584.
 2000 04 87
 2000 03 1818.
 2000 02 275·
 2000 01 3814·
 1999 12  2910·
 1999 11  596.
 1999 10  1516.
 1999 09  942·
 1999 08  114·
 1999 07  7615·
 1999 06  4811·
 1999 05  910.
 1999 04  153.
 1999 03  1516.
 1999 02  29.
 1999 01  885·
 1998 12 812·
 1998 11 439.
 1998 10 764·
 1998 09 644.
 1998 08 446.
 1998 07 5610·
 1998 06 963·
 1998 05 934.
 1998 04 119.
 1998 03 7214.
 1998 02 1219.
 1998 01 5715.
 1997 12  219.
 1997 11  3512.
 1997 10  19·
 1997 09  625·
 1997 08  126.
 1997 07  1516.
 1997 06  6115·
 1997 05  418·
 1997 04  483.
 1997 03  615.
 1997 02  198·
 1997 01  4923.
 1996 12 1613.
 1996 11 276·
 1996 10 258·
 1996 09 682·
 1996 08 296.
 1996 07 229.
 1996 06 5512.
 1996 05 611.
 1996 04 2522.
 1996 03 603.
 1996 02 811.
 1996 01 9311·
 1995 12  6711·
 1995 11  3510·
 1995 10  108.
 1995 09  869.
 1995 08  4215·
 1995 07  676.
 1995 06  124·
 1995 05  684.
 1995 04  6410.
 1995 03  996·
 1995 02  898.
 1995 01  435·
 1994 12 719·
 1994 11 26·
 1994 10 413·
 1994 09 450.
 1994 08 2514·
 1994 07 6834.
 1994 06 9419·
 1994 05 306·
 1994 04 149·
 1994 03 177·
 1994 02 98
 1994 01 807.
 1993 12  5222·
 1993 11  932·
 1993 10  2823·
 1993 09  019·
 1993 08  758.
 1993 07  663.
 1993 06  8510.
 1993 05  242·
 1993 04  486.
 1993 02  2910·
 1993 01  956·
 1992 12 69·
 1992 11 579·
 1992 10 123·
 1992 09 74·
 1992 08 304·
 1992 07 1617.
 1992 06 284.
 1992 05 9818.
 1992 04 16.
 1992 03 639·
 1992 02 7714.
 1992 01 6613·
 1991 12  525·
 1991 11  6011.
 1991 10  445·
 1991 09  3914·
 1991 08  3912.
 1991 07  955.
 1991 06  4612.
 1991 05  6610·
 1991 04  439.
 1991 03  8210·
 1991 02  2911.
 1991 01  2218·
 1990 12 7213.
 1990 11 588·
 1990 10 6112.
 1990 09 910·
 1990 08 568·
 1990 07 875.
 1990 06 373·
 1990 05 519.
 1990 04 53
 1990 03 5512·
 1990 02 7615.
 1990 01 9820.
 1989 12  4413.
 1989 11  7622·
 1989 10  215.
 1989 09  276·
 1989 08  3611·
 1989 07  886·
 1989 06  4216·
 1989 05  3814.
 1989 04  6115.
 1989 03  5311·
 1989 02  3415.
 1989 01  554.
 1988 12 7420·
 1988 11 6011.
 1988 10 157.
 1988 09 30
 1988 08 59
 1988 07 2112·
 1988 06 297·
 1988 05 379.
 1988 04 2018·
 1988 03 7515·
 1988 02 4610·
 1988 01 782·
 1987 12  915.
 1987 11  847.
 1987 10  604·
 1987 09  773·
 1987 08  276.
 1987 07  365.
 1987 06  897·
 1987 05  854·
 1987 03  1110.
 1987 02  442·
 1987 01  7911·
 1986 12 776.
 1986 11 489·
 1986 10 466.
 1986 09 974·
 1986 08 5516·
 1986 07 7210.
 1986 06 44·
 1986 05 397.
 1986 04 4211·
 1986 03 37
 1986 02 82·
 1986 01 2311·
 1985 12  895·
 1985 11  2615.
 1985 10  6917·
 1985 09  9414.
 1985 06  7311·
 1985 05  469·
 1985 04  257·
 1985 03  20
 1985 02  937.
 1985 01  285.
 1984 12 395.
 1984 11 972.
 1984 10 747·
 1984 09 289·
 1984 08 015.
 1984 07 429·
 1984 06 67
 1984 05 294·
 1984 04 2011·
 1984 03 16.
 1984 02 489·
 1984 01 3710.
 1983 12  37
 1983 11  414.
 1983 10  178.
 1983 09  8410.
 1983 08  148·
 1983 07  58
 1983 06  994.
 1983 05  267.
 1983 04  399.
 1983 03  718·
 1983 02  459.
 1983 01  4513.
 1982 12 2413.
 1982 11 2323·
 1982 10 2914·
 1982 09 489.
 1982 08 88.
 1982 07 846·
 1982 06 5320.
 1982 05 6613.
 1982 04 537·
 1982 03 48
 1982 02 427.
 1982 01 5617·
 1981 12  485.
 1981 11  3510·
 1981 10  465.
 1981 09  995.
 1981 08  58·
 1981 07  879.
 1981 06  405.
 1981 05  32.
 1981 04  626.
 1981 03  754.
 1981 02  255.
 1981 01  9916.
 1980 12 828·
 1980 11 921.
 1980 10 274·
 1980 09 4310.
 1980 08 537.
 1980 07 5811.
 1980 06 9621·
 1980 05 177·
 1980 04 8812.
 1980 03 1714·
 1980 02 67.
 1980 01 2717.
 1979 12  245·
 1979 11  389·
 1979 10  592.
 1979 09  76·
 1979 08  256·
 1979 07  149.
 1979 06  801.
 1979 05  119.
 1979 04  798.
 1979 03  666·
 1979 01  194·
 1978 12 228.
 1978 11 9711·
 1978 10 386·
 1978 09 5215.
 1978 08 468.
 1978 07 2010.
 1978 06 9811·
 1978 05 797.
 1978 04 158·
 1978 03 89.
 1978 02 406.
 1978 01 2616·
 1977 12  868.
 1977 11  5013.
 1977 10  8511·
 1977 09  4211·
 1977 08  4013.
 1977 07  5919·
 1977 06  7511.
 1977 05  48.
 1977 04  849.
 1977 03  739·
 1977 02  8011·
 1977 01  1114·
 1976 12 496·
 1976 11 5516·
 1976 10 9515·
 1976 09 899.
 1976 08 939.
 1976 07 931·
 1976 06 387.
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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: Number At work part-time, usually FT Economicreasons 30-34 hrs 65 yrs. & over 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

Want state personal income and/or population data?

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