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 Series Title: Number At work part-time, usually work part-timeNoneconomic reasons 30-34 hours 55-64 yrs.: NSA (Thousands)
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 2003 02  23454.
 2003 01  49446·
 2002 12 38443.
 2002 11 51473·
 2002 10 70467.
 2002 09 80457.
 2002 08 69317·
 2002 07 54353.
 2002 06 32412·
 2002 05 60464.
 2002 04 51463·
 2002 03 6496.
 2002 02 62436.
 2002 01 70405.
 2001 12  97481.
 2001 11  50418.
 2001 10  33425.
 2001 09  17396.
 2001 08  44312·
 2001 07  57416·
 2001 06  47349.
 2001 05  32405.
 2001 04  56420.
 2001 03  20440.
 2001 02  29490.
 2001 01  72434.
 2000 12 20476·
 2000 11 58440·
 2000 10 29413.
 2000 09 19447·
 2000 08 50389·
 2000 07 15374·
 2000 06 23351·
 2000 05 79418·
 2000 04 83404·
 2000 03 61402·
 2000 02 11450·
 2000 01 84412.
 1999 12  83394·
 1999 11  90347.
 1999 10  19416·
 1999 09  91417.
 1999 08  36391.
 1999 07  20401·
 1999 06  96382·
 1999 05  81403·
 1999 04  56376.
 1999 03  96407.
 1999 02  18460·
 1999 01  60375·
 1998 12 81412.
 1998 11 87379.
 1998 10 87381.
 1998 09 62258·
 1998 08 74323.
 1998 07 88359.
 1998 06 26381·
 1998 05 41396·
 1998 04 22385·
 1998 03 17380·
 1998 02 86361·
 1998 01 80345·
 1997 12  39397.
 1997 11  18335·
 1997 10  44396·
 1997 09  86395·
 1997 08  62347.
 1997 07  61349.
 1997 06  98371·
 1997 05  90428.
 1997 04  54333.
 1997 03  40319·
 1997 02  76352·
 1997 01  48343·
 1996 12 4334·
 1996 11 73284·
 1996 10 26349.
 1996 09 43348.
 1996 08 23289.
 1996 07 6283.
 1996 06 24301·
 1996 05 81303·
 1996 04 51313.
 1996 03 7294·
 1996 02 72327.
 1996 01 94285·
 1995 12  49334·
 1995 11  70333·
 1995 10  93324.
 1995 09  37350.
 1995 08  7273.
 1995 07  15303.
 1995 06  39300.
 1995 05  94332.
 1995 04  35308·
 1995 03  85342·
 1995 02  85367.
 1995 01  70374.
 1994 12 74376.
 1994 11 50346.
 1994 10 31311.
 1994 09 98337.
 1994 08 84313.
 1994 07 4266·
 1994 06 3324.
 1994 05 33370·
 1994 04 55425·
 1994 03 66372.
 1994 02 51286·
 1994 01 58328.
 1993 12  99330.
 1993 11  81308.
 1993 10  51309.
 1993 09  79318.
 1993 08  54283·
 1993 07  16289.
 1993 06  2333·
 1993 05  27320·
 1993 04  83314·
 1993 03  67294.
 1993 02  31308·
 1993 01  61304·
 1992 12 74282.
 1992 11 53306.
 1992 10 88324.
 1992 09 60266·
 1992 08 40292·
 1992 07 17248.
 1992 06 47309.
 1992 05 31320.
 1992 04 18282.
 1992 03 29278·
 1992 02 10298·
 1992 01 8329.
 1991 12  72307·
 1991 11  84299·
 1991 10  2303·
 1991 09  45332·
 1991 08  90310.
 1991 07  99267.
 1991 06  73289.
 1991 05  24330·
 1991 04  83274.
 1991 03  20336·
 1991 02  98354·
 1991 01  53319.
 1990 12 91327·
 1990 11 15396·
 1990 10 79365·
 1990 09 63323.
 1990 08 76299.
 1990 07 79280.
 1990 06 40369.
 1990 05 11330·
 1990 04 26321.
 1990 03 30284·
 1990 02 32271·
 1990 01 77280·
 1989 12  53312.
 1989 11  13343·
 1989 10  30374.
 1989 09  70380.
 1989 08  97291.
 1989 07  98288·
 1989 06  34302·
 1989 05  19315·
 1989 04  19354.
 1989 03  77328.
 1989 02  71278.
 1989 01  83315·
 1988 12 7326.
 1988 11 71314·
 1988 10 90354·
 1988 09 43319.
 1988 08 75331.
 1988 07 23337·
 1988 06 66318·
 1988 05 5346.
 1988 04 61340·
 1988 03 3336.
 1988 02 1309.
 1988 01 1256.
 1987 12  26328·
 1987 11  4286·
 1987 10  19277.
 1987 09  88230.
 1987 08  60238.
 1987 07  47274·
 1987 06  72279·
 1987 05  47308.
 1987 04  74254.
 1987 03  74317·
 1987 02  33258·
 1987 01  85257.
 1986 12 8274·
 1986 11 55282.
 1986 10 4279.
 1986 09 33265·
 1986 08 23238·
 1986 07 85249·
 1986 06 11273·
 1986 05 49312·
 1986 04 8301·
 1986 03 82267.
 1986 02 2288.
 1986 01 13331·
 1985 12  76324.
 1985 11  91282·
 1985 10  55296·
 1985 09  34295.
 1985 08  64256.
 1985 07  80265·
 1985 06  69300.
 1985 05  41276.
 1985 04  35290.
 1985 03  45262.
 1985 02  70220.
 1985 01  92262.
 1984 12 77282·
 1984 11 3274·
 1984 10 7272·
 1984 09 68299·
 1984 08 4204·
 1984 07 99228·
 1984 06 57298·
 1984 05 77276.
 1984 04 52308.
 1984 03 3278·
 1984 02 20271.
 1984 01 49282·
 1983 12  86271.
 1983 11  8235·
 1983 10  21269.
 1983 09  41286·
 1983 08  92195.
 1983 07  33207·
 1983 06  11237·
 1983 05  36265·
 1983 04  84275.
 1983 03  23269.
 1983 02  65259.
 1983 01  39235.
 1982 12 0290.
 1982 11 47208·
 1982 10 83242·
 1982 09 82248·
 1982 08 2218·
 1982 07 99247.
 1982 06 90239.
 1982 05 23276.
 1982 04 78264·
 1982 03 98291·
 1982 02 38267.
 1982 01 42213.
 1981 12  41265·
 1981 11  89281·
 1981 10  2280.
 1981 09  46252·
 1981 08  30246.
 1981 07  39199·
 1981 06  82278.
 1981 05  67285.
 1981 04  7258·
 1981 03  45276.
 1981 02  2217.
 1981 01  61229.
 1980 12 59248·
 1980 11 23258.
 1980 10 15251·
 1980 09 10296·
 1980 08 1221.
 1980 07 20222·
 1980 06 95274·
 1980 05 22280·
 1980 04 69242·
 1980 03 4275.
 1980 02 42252·
 1980 01 26249·
 1979 12  27287.
 1979 11  68303.
 1979 10  82296.
 1979 09  81266.
 1979 08  62221·
 1979 07  33216·
 1979 06  65243.
 1979 05  67294.
 1979 04  87234.
 1979 03  43285.
 1979 02  68221.
 1979 01  92196·
 1978 12 41263.
 1978 11 65262.
 1978 10 89260·
 1978 09 86271·
 1978 08 86167.
 1978 07 96201·
 1978 06 54265.
 1978 05 7299·
 1978 04 10281·
 1978 03 53265·
 1978 02 15246·
 1978 01 37216.
 1977 12  26217.
 1977 11  81218·
 1977 10  46219·
 1977 09  81275·
 1977 08  72178.
 1977 07  50213·
 1977 06  47210·
 1977 05  72279·
 1977 04  10270·
 1977 03  52279·
 1977 02  44206.
 1977 01  66215·
 1976 12 29204.
 1976 11 8190·
 1976 10 88254.
 1976 09 44248.
 1976 08 41234.
 1976 07 61177.
 1976 06 54235.
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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 work part-timeNoneconomic reasons 30-34 hours 55-64 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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