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 Series Title: Number At work part-time, usually work full-timeEconomic reasons 30-34 hours 18-19 yrs.: NSA (Thousands)
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 1976 06 9460.
 1976 07 4653.
 1976 08 759·
 1976 09 9862.
 1976 10 6548.
 1976 11 5549.
 1976 12 1942.
 1977 01  3518.
 1977 02  6429.
 1977 03  2553·
 1977 04  9441.
 1977 05  3360·
 1977 06  4360·
 1977 07  3854.
 1977 08  4562·
 1977 09  3752·
 1977 10  7760·
 1977 11  9934·
 1977 12  1119.
 1978 01 1533.
 1978 02 6554.
 1978 03 4257·
 1978 04 5345·
 1978 05 6149.
 1978 06 3471·
 1978 07 2284.
 1978 08 6153.
 1978 09 9559.
 1978 10 3446·
 1978 11 2235.
 1978 12 4626·
 1979 01  6230.
 1979 02  3941·
 1979 03  4732·
 1979 04  4840.
 1979 05  2940·
 1979 06  5264.
 1979 07  2958·
 1979 08  2748.
 1979 09  9135·
 1979 10  9631.
 1979 11  2653·
 1979 12  7455.
 1980 01 6841·
 1980 02 2352·
 1980 03 1931.
 1980 04 043·
 1980 05 352·
 1980 06 791·
 1980 07 1375.
 1980 08 4394·
 1980 09 6545·
 1980 10 5056·
 1980 11 4239·
 1980 12 6650.
 1981 01  4949·
 1981 02  7640·
 1981 03  6230·
 1981 04  5842·
 1981 05  7549.
 1981 06  3655·
 1981 07  5450·
 1981 08  3069.
 1981 09  8525·
 1981 10  551·
 1981 11  2453.
 1981 12  2158·
 1982 01 4943.
 1982 02 8456·
 1982 03 649.
 1982 04 9536·
 1982 05 6244.
 1982 06 9878·
 1982 07 5446·
 1982 08 3759.
 1982 09 4166.
 1982 10 9855·
 1982 11 5259·
 1982 12 6349·
 1983 01  3335·
 1983 02  5830.
 1983 03  440·
 1983 04  838·
 1983 05  533·
 1983 06  8057.
 1983 07  4563·
 1983 08  3756·
 1983 09  5225.
 1983 10  8920·
 1983 11  2828·
 1983 12  3850.
 1984 01 9331.
 1984 02 3443.
 1984 03 3842.
 1984 04 2232·
 1984 05 7234·
 1984 06 9258·
 1984 07 7950·
 1984 08 2854·
 1984 09 5918·
 1984 10 6241·
 1984 11 8452.
 1984 12 2041·
 1985 01  4652.
 1985 02  7141·
 1985 03  938·
 1985 04  8435·
 1985 05  5535·
 1985 06  6950·
 1985 07  3763·
 1985 08  3450·
 1985 09  2850·
 1985 10  3030·
 1985 11  7235.
 1985 12  743.
 1986 01 3527.
 1986 02 5652·
 1986 03 4928.
 1986 04 6742·
 1986 05 6933.
 1986 06 7262·
 1986 07 2248·
 1986 08 161·
 1986 09 5162.
 1986 10 2840·
 1986 11 7334.
 1986 12 2247·
 1987 01  2433·
 1987 02  9969.
 1987 03  1047.
 1987 04  6935·
 1987 05  5848.
 1987 06  8645.
 1987 07  6475·
 1987 08  351.
 1987 09  4635·
 1987 10  1532·
 1987 11  9140·
 1987 12  1433.
 1988 01 837.
 1988 02 3528·
 1988 03 7324.
 1988 04 1326.
 1988 05 8729.
 1988 06 2347.
 1988 07 1776·
 1988 08 3958.
 1988 09 5452.
 1988 10 7842·
 1988 11 5556·
 1988 12 5429.
 1989 01  127.
 1989 02  2634.
 1989 03  4233.
 1989 04  4724·
 1989 05  4930.
 1989 06  1756·
 1989 07  6155.
 1989 08  3135.
 1989 09  4131.
 1989 10  2729·
 1989 11  1959.
 1989 12  4241·
 1990 01 4743·
 1990 02 5662.
 1990 03 4647.
 1990 04 4521.
 1990 05 6018.
 1990 06 3063·
 1990 07 055.
 1990 08 2743.
 1990 09 030.
 1990 10 9856.
 1990 11 6239.
 1990 12 035.
 1991 01  1144.
 1991 02  3633·
 1991 03  3932·
 1991 04  416.
 1991 05  6222·
 1991 06  4659·
 1991 07  6377·
 1991 08  042.
 1991 09  4747.
 1991 10  5134.
 1991 11  9051·
 1991 12  7726·
 1992 01 8650·
 1992 02 236·
 1992 03 121.
 1992 04 4737·
 1992 05 2225·
 1992 06 7652·
 1992 07 465·
 1992 08 4946.
 1992 09 2532·
 1992 10 7130·
 1992 11 3036.
 1992 12 4528.
 1993 01  8836.
 1993 02  1528·
 1993 03  3624.
 1993 04  2328.
 1993 05  3230·
 1993 06  5633·
 1993 07  353·
 1993 08  9640.
 1993 09  9949.
 1993 10  7048·
 1993 11  3836.
 1993 12  243·
 1994 01 6034·
 1994 02 5919·
 1994 03 7322.
 1994 04 420.
 1994 05 833·
 1994 06 4636·
 1994 07 6428·
 1994 08 9060·
 1994 09 6239·
 1994 10 8315·
 1994 11 93
 1994 12 7219·
 1995 01  6716·
 1995 02  4520.
 1995 03  668·
 1995 04  8912.
 1995 05  9235.
 1995 06  3237·
 1995 07  1634·
 1995 08  311.
 1995 09  3111·
 1995 10  7012·
 1995 11  9925·
 1995 12  219·
 1996 01 324.
 1996 02 1024·
 1996 03 9620.
 1996 04 013.
 1996 05 5217.
 1996 06 2525.
 1996 07 1436.
 1996 08 3328·
 1996 09 4724·
 1996 10 1816·
 1996 11 855.
 1996 12 6638.
 1997 01  8335·
 1997 02  1234.
 1997 03  6513·
 1997 04  8616.
 1997 05  7822.
 1997 06  6042·
 1997 07  3746·
 1997 08  547.
 1997 09  7723·
 1997 10  3523.
 1997 11  626.
 1997 12  6226·
 1998 01 4931·
 1998 02 39
 1998 03 421.
 1998 04 1923.
 1998 05 8838.
 1998 06 9731.
 1998 07 8929.
 1998 08 6535.
 1998 09 1319·
 1998 10 5919.
 1998 11 4112.
 1998 12 1217·
 1999 01  6913·
 1999 02  140.
 1999 03  6730.
 1999 04  9831.
 1999 05  2427·
 1999 06  2248.
 1999 07  9935.
 1999 08  8628.
 1999 09  7223.
 1999 10  4917.
 1999 11  9415.
 1999 12  6531.
 2000 01 3333.
 2000 02 3235·
 2000 03 3211·
 2000 04 4642.
 2000 05 5145·
 2000 06 4633·
 2000 07 2245·
 2000 08 6818.
 2000 09 9623·
 2000 10 9244.
 2000 11 9432.
 2000 12 9320.
 2001 01  6028·
 2001 02  9414·
 2001 03  58.
 2001 04  1114.
 2001 05  6325.
 2001 06  441·
 2001 07  3729.
 2001 08  3219·
 2001 09  5024.
 2001 10  9722.
 2001 11  9627.


 2001 12  9650·
 2002 01 9041·
 2002 02 738·
 2002 03 1535·
 2002 04 6526.
 2002 05 7635.
 2002 06 5737·
 2002 07 4945·
 2002 08 2740·
 2002 09 2821·
 2002 10 08·
 2002 11 8012.
 2002 12 9524.
 2003 01  9033.
 2003 02  7818.
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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 full-timeEconomic reasons 30-34 hours 18-19 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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