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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 2485·
 2000 02 4569.
 2000 03 9388·
 2000 04 9497·
 2000 05 186·
 2000 06 6889.
 2000 07 5183·
 2000 08 3693·
 2000 09 8996·
 2000 10 34112.
 2000 11 55109·
 2000 12 20108.
 2001 01  36116·
 2001 02  23116.
 2001 03  15138.
 2001 04  9194.
 2001 05  2091·
 2001 06  43101.
 2001 07  7263.
 2001 08  1793.
 2001 09  3980·
 2001 10  2483·
 2001 11  8665.
 2001 12  9486·
 2002 01 21106.
 2002 02 2592·
 2002 03 4791.
 2002 04 3990.
 2002 05 1483·
 2002 06 2673.
 2002 07 6773·
 2002 08 9777.
 2002 09 9572·
 2002 10 3484·
 2002 11 8487.
 2002 12 3864·
 2003 01  6449.
 2003 02  8182·
 2003 03  6177.
 2003 04  5582.
 2003 05  4689.
 2003 06  2369.
 2003 07  8661·
 2003 08  6867.
 2003 09  9176·
 2003 10  4299·
 2003 11  7179.
 2003 12  20102.
 2004 01 7677.
 2004 02 45101·
 2004 03 5596.
 2004 04 8162.
 2004 05 066.
 2004 06 6388.
 2004 07 052·
 2004 08 4585.
 2004 09 8981.
 2004 10 5371.
 2004 11 9552.
 2004 12 3160·
 2005 01  9381·
 2005 02  96112.
 2005 03  5281·
 2005 04  8469.
 2005 05  8746.
 2005 06  058·
 2005 07  989.
 2005 08  7277.
 2005 09  7278.
 2005 10  9573·
 2005 11  2994.
 2005 12  8957·
 2006 01 7451·
 2006 02 3951·
 2006 03 060.
 2006 04 5561·
 2006 05 4267·
 2006 06 1374·
 2006 07 3475.
 2006 08 1473.
 2006 09 5371·
 2006 10 2490.
 2006 11 7182.
 2006 12 3472.
 2007 01  682·
 2007 02  392·
 2007 03  7291·
 2007 04  1183.
 2007 05  2779.
 2007 06  8119·
 2007 07  25118·
 2007 08  6399·
 2007 09  6688·
 2007 10  1968·
 2007 11  4456·
 2007 12  3548.
 2008 01 9950.
 2008 02 4379·
 2008 03 6680.
 2008 04 95110.
 2008 05 26108.
 2008 06 1298.
 2008 07 55100.
 2008 08 3772·
 2008 09 7370·
 2008 10 8360·
 2008 11 9757·
 2008 12 8247·
 2009 01  8925·
 2009 02  3736·
 2009 03  643·
 2009 04  7245·
 2009 05  5151.
 2009 06  8176·
 2009 07  2064·
 2009 08  7760.
 2009 09  5858·
 2009 10  4636.
 2009 11  251.
 2009 12  9262.
 2010 01 3647.
 2010 02 8963·
 2010 03 3951.
 2010 04 3580·
 2010 05 3657·
 2010 06 9365·
 2010 07 4543·
 2010 08 5044·
 2010 09 3259·
 2010 10 6357·
 2010 11 5769.
 2010 12 774·
 2011 01  2672.
 2011 02  3057.
 2011 03  3968.
 2011 04  062·
 2011 05  4258.
 2011 06  5354.
 2011 07  7864.
 2011 08  4850·
 2011 09  3243.
 2011 10  1237.
 2011 11  8643.
 2011 12  9467·
 2012 01 6985·
 2012 02 1462.
 2012 03 357.
 2012 04 954.
 2012 05 5662.
 2012 06 9072·
 2012 07 9066.
 2012 08 8763.
 2012 09 1662.
 2012 10 9856·
 2012 11 3749·
 2012 12 4564·
 2013 01  161·
 2013 02  1960.
 2013 03  5477·
 2013 04  3052.
 2013 05  8642.
 2013 06  5946·
 2013 07  8254·
 2013 08  952·
 2013 09  7141·
 2013 10  5148.
 2013 11  8162·
 2013 12  7747.
 2014 01 8360.
 2014 02 5069.
 2014 03 4140·
 2014 04 5353·
 2014 05 7056·
 2014 06 3937.
 2014 07 7546.
 2014 08 8141·
 2014 09 847·
 2014 10 2441·
 2014 11 1938.
 2014 12 3155·
 2015 01  9948·
 2015 02  3766.
 2015 03  3764·
 2015 04  9661·
 2015 05  6750·
 2015 06  3456·
 2015 07  1780.
 2015 08  9650.
 2015 09  6237·
 2015 10  9752.
 2015 11  7245·
 2015 12  7442·
 2016 01 6130·
 2016 02 3365.
 2016 03 3958.
 2016 04 049·
 2016 05 6369·
 2016 06 7357·


 2016 07 8267·
 2016 08 6975·
 2016 09 9359.
 2016 10 7453·
 2016 11 8847·
 2016 12 9858.
 2017 01  335.
 2017 02  1832.
 2017 03  7140·
 2017 04  3349·
 2017 05  6846·
 2017 06  1163·
 2017 07  6853.
 2017 08  4266·
 2017 09  8842·
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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, White: NSA
   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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