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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, Black or African American: NSA
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 2000 01 273·
 2000 02 334.
 2000 03 88.
 2000 04 221.
 2000 05 72
 2000 06 542.
 2000 08 695·
 2000 11 468·
 2001 01  958·
 2001 02  868.
 2001 03  43
 2001 04  812·
 2001 07  48
 2001 08  106.
 2001 09  448.
 2001 10  716.
 2001 11  67·
 2001 12  333·
 2002 01 83.
 2002 03 867·
 2002 04 694.
 2002 05 884·
 2002 06 07.
 2002 07 194·
 2002 08 626.
 2002 09 309·
 2002 10 76.
 2002 11 909·
 2002 12 362·
 2003 01  41
 2003 02  424·
 2003 03  437·
 2003 04  666.
 2003 05  288·
 2003 06  4223·
 2003 07  4719.
 2003 08  5219.
 2003 09  2215·
 2003 12  713·
 2004 03 967·
 2004 04 21
 2004 05 8014.
 2004 06 1714·
 2004 07 93.
 2004 09 223·
 2004 10 853.
 2005 04  920.
 2005 06  315.
 2005 07  306.
 2005 08  417·
 2005 09  342·
 2005 11  307.
 2005 12  473·
 2006 01 822·
 2006 02 76·
 2006 03 13·
 2006 08 97
 2006 10 6310·
 2006 11 983·
 2007 01  633·
 2007 03  323.
 2007 04  662·
 2007 05  192·
 2007 06  603·
 2007 10  256.
 2007 11  991.
 2008 02 103·
 2008 03 616·
 2008 04 797·
 2008 05 9210·
 2008 06 329·
 2009 02  606.
 2009 03  172.
 2009 04  22·
 2009 05  749.
 2009 06  775.
 2009 07  91
 2009 08  113·
 2009 09  4912·
 2009 10  5510·
 2009 11  7511·
 2009 12  268.
 2010 01 949.
 2010 02 647·
 2010 03 7110·
 2010 04 787.
 2010 05 725.
 2010 06 9711.
 2010 07 410·
 2010 08 232·
 2010 09 710.
 2010 10 754.
 2010 11 244.
 2010 12 445.
 2011 01  52.
 2011 02  415.
 2011 03  67.
 2011 04  479.
 2011 05  116.
 2011 06  643·
 2011 07  515.
 2011 08  645·
 2011 09  510.
 2011 10  393.
 2011 11  844·
 2011 12  51
 2012 01 140·
 2012 02 8412·
 2012 03 550·
 2012 04 900·
 2012 05 130·
 2012 06 430.
 2012 07 412.
 2012 08 880.
 2012 09 863.
 2012 10 877.
 2012 11 413·
 2012 12 766·
 2013 01  950·
 2013 02  80·
 2013 03  815.
 2013 04  105·
 2013 05  288·
 2013 06  270.
 2013 07  111.
 2013 08  74
 2013 09  990.
 2013 10  873·
 2013 11  70·
 2013 12  720.
 2014 01 452.
 2014 02 57
 2014 03 680.
 2014 04 380·
 2014 05 280.
 2014 06 320.
 2014 07 210·
 2014 08 270.
 2014 09 380·
 2014 10 30
 2014 11 160·
 2014 12 210·
 2015 01  860.
 2015 02  960.
 2015 03  271·
 2015 04  261·
 2015 05  120.
 2015 06  02·
 2015 07  570·
 2015 08  750·
 2015 09  760·
 2015 10  34
 2015 11  296.
 2015 12  250.
 2016 01 680·
 2016 02 180·
 2016 03 940.
 2016 04 550.
 2016 05 17.
 2016 06 970.
 2016 07 280·
 2016 08 7518.
 2016 09 120·
 2016 10 390.
 2016 11 320·
 2016 12 14


 2017 01  644·
 2017 02  395.
 2017 03  290.
 2017 04  290·
 2017 05  45
 2017 06  160.
 2017 07  720·
 2017 08  33·
 2017 09  680.
 2017 10  140.
 2017 11  350·
 2017 12  420.
 2018 01 700.
 2018 02 20.
 2018 03 180.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Employment Level: Nonagriculture, Unpaid Family Workers, Black or African American: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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