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 Series Title: Number At work part-time, usually PT Noneconomicreasons 30-34 hrs 55-64 yrs Male: NSA (Thousands)
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 2003 02  52151.
 2003 01  2172·
 2002 12 53152.
 2002 11 65150.
 2002 10 21125·
 2002 09 5145.
 2002 08 6102·
 2002 07 40107·
 2002 06 5134·
 2002 05 57148·
 2002 04 10131.
 2002 03 64147·
 2002 02 56124.
 2002 01 39127·
 2001 12  77155·
 2001 11  80121.
 2001 10  50147·
 2001 09  57127.
 2001 08  47112.
 2001 07  59152·
 2001 06  86105.
 2001 05  44137.
 2001 04  80144·
 2001 03  93157·
 2001 02  89151·
 2001 01  56124.
 2000 12 67170·
 2000 11 3141·
 2000 10 11164.
 2000 09 75162.
 2000 08 18139.
 2000 07 33135.
 2000 06 27107.
 2000 05 7123.
 2000 04 73119·
 2000 03 50116.
 2000 02 37121.
 2000 01 84117·
 1999 12  94105.
 1999 11  51119·
 1999 10  66144·
 1999 09  63128·
 1999 08  70106.
 1999 07  53114.
 1999 06  66105.
 1999 05  24145·
 1999 04  12131·
 1999 03  1100·
 1999 02  10121·
 1999 01  7697·
 1998 12 58105·
 1998 11 64135·
 1998 10 0134·
 1998 09 4990·
 1998 08 7388.
 1998 07 36133·
 1998 06 61118·
 1998 05 1135·
 1998 04 43137.
 1998 03 37112.
 1998 02 44119·
 1998 01 1283·
 1997 12  82118.
 1997 11  10100·
 1997 10  23123.
 1997 09  89115·
 1997 08  27115·
 1997 07  2593·
 1997 06  99144.
 1997 05  65133.
 1997 04  4179·
 1997 03  76119·
 1997 02  9895·
 1997 01  95113·
 1996 12 1391·
 1996 11 8199·
 1996 10 70131·
 1996 09 62110.
 1996 08 54104·
 1996 07 8672.
 1996 06 9194·
 1996 05 7290.
 1996 04 478.
 1996 03 5990·
 1996 02 60105·
 1996 01 5692.
 1995 12  24109.
 1995 11  94108.
 1995 10  380.
 1995 09  7279·
 1995 08  3105.
 1995 07  1094·
 1995 06  7182.
 1995 05  085.
 1995 04  5396.
 1995 03  5381.
 1995 02  39113·
 1995 01  4997.
 1994 12 14123.
 1994 11 90108·
 1994 10 795·
 1994 09 48106.
 1994 08 4690.
 1994 07 1673.
 1994 06 1116·
 1994 05 55119·
 1994 04 39117.
 1994 03 4995.
 1994 02 71117·
 1994 01 52105.
 1993 12  5108.
 1993 11  3692.
 1993 10  93103.
 1993 09  4573·
 1993 08  8285.
 1993 07  4395.
 1993 06  6695.
 1993 05  65105.
 1993 04  3398.
 1993 03  6679.
 1993 02  16105·
 1993 01  7083.
 1992 12 4666.
 1992 11 2390.
 1992 10 95100·
 1992 09 4180.
 1992 08 3379.
 1992 07 5987·
 1992 06 7687·
 1992 05 8591·
 1992 04 3366.
 1992 03 4478.
 1992 02 6171·
 1992 01 33102·
 1991 12  998.
 1991 11  7080.
 1991 10  7589·
 1991 09  4280·
 1991 08  4888.
 1991 07  5786·
 1991 06  6782·
 1991 05  9372·
 1991 04  6460.
 1991 03  4974.
 1991 02  1590.
 1991 01  9494.
 1990 12 9383.
 1990 11 17133·
 1990 10 17125·
 1990 09 76101.
 1990 08 086.
 1990 07 5293.
 1990 06 0114·
 1990 05 9594.
 1990 04 72107.
 1990 03 7569·
 1990 02 1475.
 1990 01 3481.
 1989 12  21101.
 1989 11  3198·
 1989 10  34104.
 1989 09  98110·
 1989 08  8792.
 1989 07  8791.
 1989 06  6099.
 1989 05  2083.
 1989 04  3171·
 1989 03  3896.
 1989 02  1979.
 1989 01  5563.
 1988 12 4186.
 1988 11 4108.
 1988 10 59115·
 1988 09 8789·
 1988 08 31106.
 1988 07 28133.
 1988 06 5887·
 1988 05 21102.
 1988 04 38108·
 1988 03 8082·
 1988 02 1580·
 1988 01 8966.
 1987 12  2692·
 1987 11  5376.
 1987 10  5572·
 1987 09  4754.
 1987 08  8169·
 1987 07  6786·
 1987 06  2984·
 1987 05  7898.
 1987 04  1881.
 1987 03  6686·
 1987 02  1281.
 1987 01  8860.
 1986 12 7373.
 1986 11 2086.
 1986 10 571·
 1986 09 883.
 1986 08 1093·
 1986 07 2188·
 1986 06 3383.
 1986 05 9695.
 1986 04 1772·
 1986 03 9051.
 1986 02 47104·
 1986 01 32103.
 1985 12  683·
 1985 11  7182·
 1985 10  2279·
 1985 09  2480·
 1985 08  1680.
 1985 07  3276.
 1985 06  5792·
 1985 05  377·
 1985 04  991·
 1985 03  6879·
 1985 02  8051.
 1985 01  2671·
 1984 12 7495·
 1984 11 9886.
 1984 10 3977·
 1984 09 7578·
 1984 08 2260.
 1984 07 6673.
 1984 06 1188·
 1984 05 5589.
 1984 04 9293·
 1984 03 4286.
 1984 02 9682·
 1984 01 9975·
 1983 12  4868.
 1983 11  1963·
 1983 10  1988·
 1983 09  6387·
 1983 08  7650.
 1983 07  1653·
 1983 06  3160·
 1983 05  3065·
 1983 04  9076·
 1983 03  7864.
 1983 02  667·
 1983 01  549.
 1982 12 2781.
 1982 11 7452·
 1982 10 4657·
 1982 09 2072·
 1982 08 5170.
 1982 07 9859.
 1982 06 7670·
 1982 05 3275·
 1982 04 4967·
 1982 03 6966.
 1982 02 4668·
 1982 01 2356·
 1981 12  3560.
 1981 11  3167·
 1981 10  3169.
 1981 09  9962·
 1981 08  4563.
 1981 07  5445.
 1981 06  3279.
 1981 05  9264.
 1981 04  4479.
 1981 03  3166·
 1981 02  7570.
 1981 01  5856.
 1980 12 1871.
 1980 11 8186·
 1980 10 1074.
 1980 09 7977·
 1980 08 8254.
 1980 07 5059.
 1980 06 1178.
 1980 05 6284·
 1980 04 7168.
 1980 03 569.
 1980 02 8066·
 1980 01 3957·
 1979 12  5170.
 1979 11  4276.
 1979 10  4282·
 1979 09  6578.
 1979 08  852.
 1979 07  7948·
 1979 06  4867.
 1979 05  2382·
 1979 04  5559.
 1979 03  6062.
 1979 02  7252.
 1979 01  2038.
 1978 12 3165.
 1978 11 5568·
 1978 10 1572.
 1978 09 8675.
 1978 08 9841·
 1978 07 5767·
 1978 06 266.
 1978 05 7976·
 1978 04 4474·
 1978 03 8668.
 1978 02 8458.
 1978 01 8150·
 1977 12  8155·
 1977 11  8661.
 1977 10  3755.
 1977 09  9772.
 1977 08  4938.
 1977 07  2654.
 1977 06  6047.
 1977 05  5946.
 1977 04  963·
 1977 03  152.
 1977 02  8039·
 1977 01  2547·
 1976 12 5044·
 1976 11 2856·
 1976 10 4572.
 1976 09 7668.
 1976 08 8568.
 1976 07 5353.
 1976 06 3353·
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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 PT Noneconomicreasons 30-34 hrs 55-64 yrs 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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