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 Series Title: Employment Level: Agriculture and Related Industries, Self-employed Workers, Unincorporated, Mexican: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 419.
 2000 02 3711.
 2000 03 718.
 2000 04 98.
 2000 05 3915·
 2000 06 5316·
 2000 07 4534·
 2000 08 3714.
 2000 09 3510.
 2000 10 997.
 2000 11 50
 2000 12 953·
 2001 01  789.
 2001 02  5610.
 2001 03  114.
 2001 04  2818·
 2001 05  4519·
 2001 06  3115·
 2001 07  3419·
 2001 08  314·
 2001 09  3613·
 2001 10  5512.
 2001 11  13
 2001 12  16
 2002 01 7620.
 2002 02 8619·
 2002 03 2617·
 2002 04 8524.
 2002 05 1523·
 2002 06 520·
 2002 07 8620.
 2002 08 5520·
 2002 09 2918·
 2002 10 1815·
 2002 11 3014·
 2002 12 9513·
 2003 01  199·
 2003 02  5812.
 2003 03  2121·
 2003 04  9919.
 2003 05  924.
 2003 06  8016·
 2003 07  4818.
 2003 08  8512·
 2003 09  516.
 2003 10  6713.
 2003 11  2312.
 2003 12  9913·
 2004 01 1912.
 2004 02 259·
 2004 03 8411·
 2004 04 913·
 2004 05 1320.
 2004 06 8621.
 2004 07 9416.
 2004 08 1028·
 2004 09 6026·
 2004 10 618.
 2004 11 4120·
 2004 12 2029·
 2005 01  1021·
 2005 02  6715.
 2005 03  3810.
 2005 04  843·
 2005 05  383·
 2005 06  7614.
 2005 07  220·
 2005 08  7110.
 2005 09  449.
 2005 10  658.
 2005 11  569·
 2005 12  7511·
 2006 01 5410·
 2006 02 893.
 2006 03 303·
 2006 04 1516.
 2006 06 1912.
 2006 07 3119·
 2006 08 5423.
 2006 09 3525.
 2006 10 1315.
 2006 11 976·
 2006 12 687·
 2007 01  5
 2007 02  378·
 2007 03  193.
 2007 04  33
 2007 05  189.
 2007 06  1611.
 2007 07  5311·
 2007 08  3915·
 2007 09  9414·
 2007 10  137.
 2007 11  8233·
 2007 12  9722.
 2008 01 7721.
 2008 02 683·
 2008 03 1114·
 2008 04 4714·
 2008 05 3626·
 2008 06 1623.
 2008 07 7317.
 2008 08 5022.
 2008 09 6512.
 2008 10 7021·
 2008 11 2433·
 2008 12 9414·
 2009 01  8328.
 2009 02  8311.
 2009 03  4610·
 2009 04  9317.
 2009 05  3517·
 2009 06  2811·
 2009 07  457.
 2009 08  846.
 2009 09  904.
 2009 10  611.
 2009 11  534·
 2009 12  3112.
 2010 01 4117·
 2010 02 426·
 2010 03 2711.
 2010 04 2010.
 2010 05 86.
 2010 06 887·
 2010 07 483.
 2010 08 665·
 2010 09 355·
 2010 10 185·
 2010 11 2313·
 2010 12 55·
 2011 01  9116·
 2011 02  3212·
 2011 03  84
 2011 04  110·
 2011 05  7013.
 2011 06  5721.
 2011 07  8717·
 2011 08  4210.
 2011 09  923·
 2011 10  429.
 2011 11  1319·
 2011 12  4022·
 2012 01 018·
 2012 02 6315.
 2012 03 716.
 2012 04 3420·
 2012 05 6414.
 2012 06 216.
 2012 07 9012·
 2012 08 8619.
 2012 09 7814·
 2012 10 3915·
 2012 11 2811·
 2012 12 842.
 2013 01  619.
 2013 02  7018·
 2013 03  6724.
 2013 04  4216·
 2013 05  5719.
 2013 06  899·
 2013 07  1214.
 2013 08  9614.
 2013 09  3518.
 2013 10  9516·
 2013 11  9621.
 2013 12  1120.
 2014 01 899·
 2014 02 147·
 2014 03 7610·
 2014 04 73
 2014 05 395·
 2014 06 985·
 2014 07 3319·
 2014 08 9615·
 2014 09 2926·
 2014 10 2027·
 2014 11 7318·
 2014 12 1713·
 2015 01  2813.
 2015 02  8112.
 2015 03  2816·
 2015 04  08.
 2015 05  2915.
 2015 06  711.
 2015 07  5621.
 2015 08  3216.
 2015 09  5314·
 2015 10  4910.
 2015 11  3714.
 2015 12  2614·
 2016 01 4337.
 2016 02 8032.
 2016 03 7846.
 2016 04 2146.
 2016 05 6838.
 2016 06 328.
 2016 07 1120.
 2016 08 799.
 2016 09 238.
 2016 10 4310·
 2016 11 928.
 2016 12 879·
 2017 01  277.
 2017 02  4914.
 2017 03  429.
 2017 04  5945·
 2017 05  2347.
 2017 06  9732.


 2017 07  5229·
 2017 08  339·
 2017 09  8115.
 2017 10  8716.
 2017 11  6910.
 2017 12  726.
 2018 01 957·
 2018 02 4612.
 2018 03 1118·
 2018 04 6322.
 2018 05 8513·
 2018 06 2215·
 2018 07 5939.
 2018 08 1936·
 2018 09 9433.
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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, Self-employed Workers, Unincorporated, Mexican: 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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