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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, White: NSA
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 2000 01 7034.
 2000 02 3329·
 2000 03 3227·
 2000 04 4821·
 2000 05 9131.
 2000 06 7141.
 2000 07 043·
 2000 08 2040.
 2000 09 5541·
 2000 10 8335.
 2000 11 4523.
 2000 12 6726.
 2001 01  917.
 2001 02  5024·
 2001 03  7923·
 2001 04  3030·
 2001 05  3143.
 2001 06  7840.
 2001 07  3931·
 2001 08  8130·
 2001 09  2121·
 2001 10  024·
 2001 11  8912·
 2001 12  1322·
 2002 01 329.
 2002 02 7112·
 2002 03 1622.
 2002 04 4523.
 2002 05 2832.
 2002 06 7530·
 2002 07 3418.
 2002 08 2224·
 2002 09 7317.
 2002 10 1728·
 2002 11 8033·
 2002 12 1228.
 2003 01  3629.
 2003 02  2821.
 2003 03  1730.
 2003 04  914.
 2003 05  4422·
 2003 06  6741·
 2003 07  3347·
 2003 08  3432·
 2003 09  4718.
 2003 10  1317·
 2003 11  4115·
 2003 12  2915·
 2004 01 2013.
 2004 02 7517·
 2004 03 7920·
 2004 04 6524.
 2004 05 6324·
 2004 06 8335.
 2004 07 1033.
 2004 08 3441·
 2004 09 334.
 2004 10 9429.
 2004 11 2125·
 2004 12 5716.
 2005 01  8913.
 2005 02  9022.
 2005 03  2619.
 2005 04  7818·
 2005 05  9626.
 2005 06  7737·
 2005 07  6261.
 2005 08  6530·
 2005 09  2638.
 2005 10  8838·
 2005 11  9230.
 2005 12  1314.
 2006 01 417·
 2006 02 7819.
 2006 03 413.
 2006 04 4012·
 2006 05 8013·
 2006 06 2927·
 2006 07 1220.
 2006 08 9219·
 2006 09 2910·
 2006 10 4913.
 2006 11 5222·
 2006 12 3713·
 2007 01  519.
 2007 02  6815·
 2007 03  8918.
 2007 04  7018.
 2007 05  7320·
 2007 06  4320.
 2007 07  936.
 2007 08  911.
 2007 09  4524·
 2007 10  5717.
 2007 11  2519.
 2007 12  9817·
 2008 01 4114.
 2008 02 1418·
 2008 03 7623·
 2008 04 729·
 2008 05 6328.
 2008 06 4953.
 2008 07 2533·
 2008 08 3032.
 2008 09 3528·
 2008 10 1623·
 2008 11 5923·
 2008 12 8721·
 2009 01  818·
 2009 02  9716.
 2009 03  9121.
 2009 04  2029.
 2009 05  5826.
 2009 06  043·
 2009 07  5942.
 2009 08  026.
 2009 09  8512·
 2009 10  5519·
 2009 11  2618·
 2009 12  2016.
 2010 01 1411·
 2010 02 2022·
 2010 03 8026·
 2010 04 9930.
 2010 05 9639.
 2010 06 7556·
 2010 07 3346.
 2010 08 8329·
 2010 09 627.
 2010 10 2943·
 2010 11 2430.
 2010 12 3922.
 2011 01  4418·
 2011 02  1215.
 2011 03  1617·
 2011 04  6333.
 2011 05  3631·
 2011 06  8036·
 2011 07  9621·
 2011 08  7246·
 2011 09  3333·
 2011 10  1734·
 2011 11  7833·
 2011 12  1215·
 2012 01 918.
 2012 02 2723·
 2012 03 9825.
 2012 04 5126.
 2012 05 6546.
 2012 06 4437.
 2012 07 2148·
 2012 08 8423.
 2012 09 2626.
 2012 10 2318.
 2012 11 3411·
 2012 12 3031.
 2013 01  4334.
 2013 02  4624.
 2013 03  4940.
 2013 04  3220.
 2013 05  9215·
 2013 06  2017.
 2013 07  623.
 2013 08  6132·
 2013 09  7232.
 2013 10  7648.
 2013 11  6638.
 2013 12  932·
 2014 01 927·
 2014 02 7216.
 2014 03 1713·
 2014 04 9710·
 2014 05 5320.
 2014 06 8819·
 2014 07 7323·
 2014 08 6917·
 2014 09 8020·
 2014 10 3224.
 2014 11 7116·
 2014 12 9330·
 2015 01  9022.
 2015 02  3529·
 2015 03  7534.
 2015 04  6332·
 2015 05  930·
 2015 06  5365.
 2015 07  7131·
 2015 08  023.
 2015 09  8626·
 2015 10  6923·
 2015 11  7422·
 2015 12  4632·
 2016 01 9827·
 2016 02 8815.
 2016 03 2023.
 2016 04 7216.
 2016 05 4524·
 2016 06 4324.


 2016 07 7324.
 2016 08 7119·
 2016 09 5224.
 2016 10 9123.
 2016 11 2134.
 2016 12 6218.
 2017 01  6918.
 2017 02  1217.
 2017 03  7728.
 2017 04  9020·
 2017 05  7223·
 2017 06  1419·
 2017 07  7727.
 2017 08  239·
 2017 09  6116.
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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: Agriculture and Related Industries, 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

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