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 Series Title: Number At work part-time, usually PT Noneconomicreasons 30-34 hrs 35-44 yrs 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  5897.
 2003 01  54113·
 2002 12 42131·
 2002 11 4131·
 2002 10 50103·
 2002 09 88143.
 2002 08 31152·
 2002 07 22135.
 2002 06 83147.
 2002 05 95148·
 2002 04 96143·
 2002 03 13123.
 2002 02 8123.
 2002 01 57142·
 2001 12  50135·
 2001 11  23153.
 2001 10  0136·
 2001 09  80160.
 2001 08  31122·
 2001 07  19162.
 2001 06  60172·
 2001 05  97125·
 2001 04  1103·
 2001 03  96141.
 2001 02  13128·
 2001 01  64115·
 2000 12 49164.
 2000 11 73152.
 2000 10 9126.
 2000 09 63136·
 2000 08 87131.
 2000 07 95140.
 2000 06 23129.
 2000 05 0120·
 2000 04 53136.
 2000 03 30173.
 2000 02 57150.
 2000 01 7157.
 1999 12  10112·
 1999 11  73106·
 1999 10  35152.
 1999 09  41129.
 1999 08  47133·
 1999 07  43131·
 1999 06  8110·
 1999 05  83114·
 1999 04  75114·
 1999 03  84128.
 1999 02  51145.
 1999 01  40111.
 1998 12 33110.
 1998 11 65142.
 1998 10 65143.
 1998 09 43102·
 1998 08 84110·
 1998 07 80158.
 1998 06 75100·
 1998 05 4996·
 1998 04 16138·
 1998 03 48117.
 1998 02 31117.
 1998 01 41110·
 1997 12  41144.
 1997 11  14141·
 1997 10  9161.
 1997 09  23105.
 1997 08  9790.
 1997 07  46113·
 1997 06  1099.
 1997 05  29115.
 1997 04  48122·
 1997 03  39149·
 1997 02  5870.
 1997 01  1479·
 1996 12 81106.
 1996 11 12109.
 1996 10 3103.
 1996 09 61109.
 1996 08 8101·
 1996 07 10130.
 1996 06 23138.
 1996 05 76123.
 1996 04 69136·
 1996 03 0148·
 1996 02 16122.
 1996 01 91134.
 1995 12  2688·
 1995 11  78104.
 1995 10  8126.
 1995 09  61111.
 1995 08  6674·
 1995 07  6281.
 1995 06  5095·
 1995 05  7086·
 1995 04  3134.
 1995 03  97103·
 1995 02  16143.
 1995 01  23131·
 1994 12 74103.
 1994 11 51137.
 1994 10 8114.
 1994 09 53135·
 1994 08 43113·
 1994 07 20142·
 1994 06 51127.
 1994 05 15102.
 1994 04 97132·
 1994 03 21120·
 1994 02 95129.
 1994 01 92120·
 1993 12  50113.
 1993 11  0101.
 1993 10  1572.
 1993 09  89124.
 1993 08  38115·
 1993 07  25114·
 1993 06  12129·
 1993 05  40120.
 1993 04  25108.
 1993 03  90116.
 1993 02  1288·
 1993 01  0127.
 1992 12 0109·
 1992 11 15111·
 1992 10 6496·
 1992 09 5197.
 1992 08 7474.
 1992 07 4491·
 1992 06 44124.
 1992 05 079.
 1992 04 85111·
 1992 03 4699·
 1992 02 5270·
 1992 01 7864·
 1991 12  9776·
 1991 11  1466.
 1991 10  1559.
 1991 09  4272·
 1991 08  9893·
 1991 07  6991.
 1991 06  8292.
 1991 05  74121.
 1991 04  99100.
 1991 03  5499·
 1991 02  2886·
 1991 01  80122.
 1990 12 40101.
 1990 11 3999·
 1990 10 54108.
 1990 09 91107·
 1990 08 83113·
 1990 07 17115.
 1990 06 86104.
 1990 05 6684·
 1990 04 1688·
 1990 03 896·
 1990 02 7387.
 1990 01 84136·
 1989 12  5290.
 1989 11  56117.
 1989 10  92118.
 1989 09  5485·
 1989 08  29100·
 1989 07  3084.
 1989 06  42107.
 1989 05  5104·
 1989 04  986.
 1989 03  23100·
 1989 02  5056·
 1989 01  9681·
 1988 12 8178·
 1988 11 5782.
 1988 10 6479.
 1988 09 898.
 1988 08 5754.
 1988 07 7374·
 1988 06 6287.
 1988 05 4766·
 1988 04 7682.
 1988 03 4376.
 1988 02 42102·
 1988 01 4568.
 1987 12  9990.
 1987 11  5896.
 1987 10  3176·
 1987 09  5885.
 1987 08  1663.
 1987 07  4083·
 1987 06  7992·
 1987 05  6969.
 1987 04  3956.
 1987 03  3256·
 1987 02  6173.
 1987 01  8482·
 1986 12 668.
 1986 11 399·
 1986 10 7898·
 1986 09 3580.
 1986 08 7962.
 1986 07 4748·
 1986 06 5572.
 1986 05 7782·
 1986 04 4769.
 1986 03 8482·
 1986 02 4384·
 1986 01 9465.
 1985 12  2371·
 1985 11  5752·
 1985 10  1675.
 1985 09  9160·
 1985 08  4442·
 1985 07  3662.
 1985 06  7653·
 1985 05  069·
 1985 04  7470.
 1985 03  1470·
 1985 02  4769.
 1985 01  7871·
 1984 12 9949.
 1984 11 1258·
 1984 10 8075.
 1984 09 766.
 1984 08 3454.
 1984 07 7348·
 1984 06 5134·
 1984 05 9282.
 1984 04 1640·
 1984 03 6662·
 1984 02 5973.
 1984 01 6655.
 1983 12  872.
 1983 11  8592.
 1983 10  3178·
 1983 09  8682.
 1983 08  9765·
 1983 07  5068·
 1983 06  1764.
 1983 05  3257.
 1983 04  9768·
 1983 03  548·
 1983 02  9157.
 1983 01  1244.
 1982 12 4647·
 1982 11 1857.
 1982 10 5541·
 1982 09 5862.
 1982 08 633·
 1982 07 8564.
 1982 06 3354.
 1982 05 2554·
 1982 04 6652.
 1982 03 2345.
 1982 02 7750·
 1982 01 9655.
 1981 12  3762.
 1981 11  7853·
 1981 10  6146.
 1981 09  7758.
 1981 08  5950.
 1981 07  1852.
 1981 06  8749.
 1981 05  9960.
 1981 04  9444.
 1981 03  3847·
 1981 02  7843.
 1981 01  2151.
 1980 12 3051·
 1980 11 5658.
 1980 10 8633·
 1980 09 2240·
 1980 08 8037.
 1980 07 1748.
 1980 06 8764·
 1980 05 1051·
 1980 04 8153·
 1980 03 9049.
 1980 02 8039.
 1980 01 1748·
 1979 12  9755·
 1979 11  6943.
 1979 10  9162.
 1979 09  9844.
 1979 08  1559.
 1979 07  7439.
 1979 06  7032.
 1979 05  3733.
 1979 04  4939.
 1979 03  4856·
 1979 02  9229.
 1979 01  3845.
 1978 12 3652.
 1978 11 6049.
 1978 10 5939.
 1978 09 3552·
 1978 08 3933·
 1978 07 542.
 1978 06 9643·
 1978 05 8342·
 1978 04 4636·
 1978 03 134.
 1978 02 5237.
 1978 01 6449.
 1977 12  7049·
 1977 11  9435·
 1977 10  327·
 1977 09  8528.
 1977 08  4938.
 1977 07  5234.
 1977 06  5040.
 1977 05  7833·
 1977 04  4651.
 1977 03  6932.
 1977 02  1835.
 1977 01  9942.
 1976 12 4819.
 1976 11 6430·
 1976 10 5822.
 1976 09 3037·
 1976 08 6833.
 1976 07 8236.
 1976 06 4431·
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Similar Series

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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

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      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







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 Series Title: Number At work part-time, usually PT Noneconomicreasons 30-34 hrs 35-44 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

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