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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 25-34 yrs.: NSA (Thousands)
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 2003 02  50259·
 2003 01  79256.
 2002 12 41233.
 2002 11 59233.
 2002 10 77205·
 2002 09 44203·
 2002 08 9166·
 2002 07 52192·
 2002 06 33173·
 2002 05 70171.
 2002 04 40179·
 2002 03 6190.
 2002 02 68184·
 2002 01 39231·
 2001 12  48193.
 2001 11  66183·
 2001 10  58213·
 2001 09  57160·
 2001 08  70140·
 2001 07  0153.
 2001 06  2161.
 2001 05  56182·
 2001 04  69162·
 2001 03  3155·
 2001 02  27132.
 2001 01  92148.
 2000 12 32130.
 2000 11 94155·
 2000 10 8397.
 2000 09 48104·
 2000 08 74119·
 2000 07 16153·
 2000 06 45175.
 2000 05 29112·
 2000 04 32132·
 2000 03 39183.
 2000 02 14149.
 2000 01 68143.
 1999 12  68174·
 1999 11  58155·
 1999 10  15169.
 1999 09  21129·
 1999 08  70129·
 1999 07  91142·
 1999 06  97141.
 1999 05  70162·
 1999 04  53177·
 1999 03  82179·
 1999 02  38169.
 1999 01  21179·
 1998 12 52155·
 1998 11 1151.
 1998 10 37165.
 1998 09 6195.
 1998 08 32183.
 1998 07 41181·
 1998 06 19140·
 1998 05 82156·
 1998 04 79205·
 1998 03 23230.
 1998 02 36211·
 1998 01 30201·
 1997 12  8184·
 1997 11  89184·
 1997 10  61198.
 1997 09  57186.
 1997 08  56203.
 1997 07  10170.
 1997 06  96166·
 1997 05  94221·
 1997 04  85198·
 1997 03  78271·
 1997 02  67217.
 1997 01  99217.
 1996 12 84244.
 1996 11 15196.
 1996 10 23231.
 1996 09 53179.
 1996 08 65195·
 1996 07 62276.
 1996 06 39218.
 1996 05 62191.
 1996 04 67258.
 1996 03 91235·
 1996 02 17229.
 1996 01 58225·
 1995 12  53217.
 1995 11  94188.
 1995 10  82274.
 1995 09  98219·
 1995 08  9259·
 1995 07  91198·
 1995 06  84219·
 1995 05  64228·
 1995 04  50269·
 1995 03  27289.
 1995 02  98242·
 1995 01  61209.
 1994 12 13283.
 1994 11 69215.
 1994 10 25209·
 1994 09 23220.
 1994 08 60242.
 1994 07 13184·
 1994 06 90225·
 1994 05 4274·
 1994 04 80229.
 1994 03 78275·
 1994 02 44235.
 1994 01 88328·
 1993 12  86296.
 1993 11  7312.
 1993 10  61310.
 1993 09  80322·
 1993 08  16308.
 1993 07  70329·
 1993 06  43304.
 1993 05  12333·
 1993 04  32379·
 1993 03  61278·
 1993 02  15310.
 1993 01  42330.
 1992 12 22277.
 1992 11 99328·
 1992 10 27304·
 1992 09 50342.
 1992 08 0299.
 1992 07 29291·
 1992 06 55303.
 1992 05 43248.
 1992 04 3321·
 1992 03 19347.
 1992 02 99304·
 1992 01 53321·
 1991 12  94321.
 1991 11  63300.
 1991 10  84286.
 1991 09  36311.
 1991 08  60276.
 1991 07  81272·
 1991 06  60265·
 1991 05  75251.
 1991 04  16264·
 1991 03  16324.
 1991 02  4297.
 1991 01  75246·
 1990 12 98282·
 1990 11 39247.
 1990 10 15247·
 1990 09 69237·
 1990 08 70227.
 1990 07 43243.
 1990 06 19248·
 1990 05 12235·
 1990 04 19265·
 1990 03 47274·
 1990 02 67254.
 1990 01 88267·
 1989 12  58193.
 1989 11  95266·
 1989 10  33224·
 1989 09  1236·
 1989 08  26208·
 1989 07  57234.
 1989 06  18210·
 1989 05  85258.
 1989 04  85244·
 1989 03  27229·
 1989 02  48270·
 1989 01  95231.
 1988 12 23270·
 1988 11 23254.
 1988 10 73258·
 1988 09 14209.
 1988 08 53163.
 1988 07 90239.
 1988 06 67241.
 1988 05 47179.
 1988 04 13227.
 1988 03 98291·
 1988 02 33228.
 1988 01 27276.
 1987 12  65244·
 1987 11  39252.
 1987 10  94243·
 1987 09  10229.
 1987 08  98262.
 1987 07  34257·
 1987 06  2249·
 1987 05  77280.
 1987 04  25229·
 1987 03  26296·
 1987 02  32285.
 1987 01  37286·
 1986 12 83263·
 1986 11 85253.
 1986 10 84321.
 1986 09 19285·
 1986 08 35230.
 1986 07 5234·
 1986 06 83264.
 1986 05 81300·
 1986 04 69254.
 1986 03 5267·
 1986 02 81264·
 1986 01 4228.
 1985 12  99246·
 1985 11  28249·
 1985 10  51252·
 1985 09  96255.
 1985 08  61230.
 1985 07  45221·
 1985 06  96202·
 1985 05  87264.
 1985 04  19197·
 1985 03  50232·
 1985 02  40228·
 1985 01  34231·
 1984 12 61322.
 1984 11 60228.
 1984 10 33259.
 1984 09 19257.
 1984 08 0264·
 1984 07 22220.
 1984 06 51246.
 1984 05 49209.
 1984 04 73220·
 1984 03 3247.
 1984 02 95249·
 1984 01 55236.
 1983 12  43241·
 1983 11  98256·
 1983 10  89253·
 1983 09  94264·
 1983 08  99223.
 1983 07  26259.
 1983 06  84248·
 1983 05  47260.
 1983 04  53234.
 1983 03  31233·
 1983 02  56244·
 1983 01  22271·
 1982 12 43257·
 1982 11 83266.
 1982 10 5253·
 1982 09 49203·
 1982 08 31207·
 1982 07 75224.
 1982 06 56224·
 1982 05 85210·
 1982 04 7208·
 1982 03 26197.
 1982 02 60182·
 1982 01 13136.
 1981 12  83128.
 1981 11  82163·
 1981 10  91167.
 1981 09  38113.
 1981 08  96170.
 1981 07  10169·
 1981 06  51173.
 1981 05  93177·
 1981 04  9122.
 1981 03  5146·
 1981 02  65114·
 1981 01  34127·
 1980 12 11104·
 1980 11 86112.
 1980 10 84128.
 1980 09 42110·
 1980 08 15139·
 1980 07 98125.
 1980 06 82116.
 1980 05 24134·
 1980 04 57122·
 1980 03 9113·
 1980 02 5981·
 1980 01 1370.
 1979 12  2100·
 1979 11  14104.
 1979 10  4389·
 1979 09  6479.
 1979 08  3682.
 1979 07  32103·
 1979 06  82110.
 1979 05  59134.
 1979 04  74117.
 1979 03  6104.
 1979 02  5278.
 1979 01  574.
 1978 12 5283·
 1978 11 692·
 1978 10 54119.
 1978 09 3353.
 1978 08 3480·
 1978 07 2799.
 1978 06 1391·
 1978 05 097·
 1978 04 7119.
 1978 03 8683·
 1978 02 7974·
 1978 01 8865.
 1977 12  8554.
 1977 11  3093.
 1977 10  2881·
 1977 09  4115·
 1977 08  5108·
 1977 07  25102.
 1977 06  6089·
 1977 05  7968.
 1977 04  3089·
 1977 03  68101.
 1977 02  087·
 1977 01  6991.
 1976 12 49101.
 1976 11 76111·
 1976 10 0112·
 1976 09 5660.
 1976 08 7370·
 1976 07 9566.
 1976 06 3485.
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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-timeEconomic reasons 30-34 hours 25-34 yrs.: 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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