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 Series Title: Unemployment Level: 18 years and over, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2008 12 377799·
 2009 01  329470.
 2009 02  159955·
 2009 03  8810211.
 2009 04  789386·
 2009 05  139984.
 2009 06  2510521.
 2009 07  7510600.
 2009 08  310626.
 2009 09  1110389·
 2009 10  5410449.
 2009 11  7910352·
 2009 12  6510551.
 2010 01 711586·
 2010 02 1611708·
 2010 03 4411226.
 2010 04 3710364.
 2010 05 910091·
 2010 06 4910316·
 2010 07 4110346·
 2010 08 2010251·
 2010 09 499936.
 2010 10 159740·
 2010 11 6210149.
 2010 12 409935.
 2011 01  8210608·
 2011 02  210410.
 2011 03  279932·
 2011 04  489176.
 2011 05  909259·
 2011 06  239717·
 2011 07  819718·
 2011 08  179473·
 2011 09  819216.
 2011 10  169101.
 2011 11  918672.
 2011 12  508687·
 2012 01 859519·
 2012 02 449376·
 2012 03 538920.
 2012 04 708355·
 2012 05 598518.
 2012 06 958753·
 2012 07 868907.
 2012 08 298494.
 2012 09 868035·
 2012 10 817891·
 2012 11 337569·
 2012 12 37877.
 2013 01  719053·
 2013 02  418485·
 2013 03  648050.
 2013 04  907455·
 2013 05  467555.
 2013 06  387914·
 2013 07  737890.
 2013 08  187544.
 2013 09  697176·
 2013 10  597069.
 2013 11  796750·
 2013 12  356715.
 2014 01 207302.
 2014 02 177346·
 2014 03 267048.
 2014 04 185880·
 2014 05 66106.
 2014 06 506346·
 2014 07 846500·
 2014 08 676229.
 2014 09 595794.
 2014 10 215432·
 2014 11 465501.
 2014 12 85362·
 2015 01  356294·
 2015 02  186045·
 2015 03  325778.
 2015 04  905181.
 2015 05  175333·
 2015 06  545522.
 2015 07  865716.
 2015 08  895246·
 2015 09  104942.
 2015 10  674881·
 2015 11  774848·
 2015 12  65042·
 2016 01 465553.
 2016 02 195436·
 2016 03 985296.
 2016 04 654834·
 2016 05 834608·
 2016 06 995236·
 2016 07 705349·
 2016 08 185253·
 2016 09 14962·
 2016 10 194837·
 2016 11 374628·
 2016 12 404872·
 2017 01  85632.
 2017 02  175183·
 2017 03  674711·
 2017 04  314199.
 2017 05  354167.
 2017 06  564632.


 2017 07  544696.
 2017 08  164673.
 2017 09  384270.
 2017 10  253870.
 2017 11  183929·
 2017 12  464258.
 2018 01 994709·
 2018 02 354774.
 2018 03 44357·
 2018 04 963925·
 2018 05 253818·
 2018 06 264414·
 2018 07 794345.
 2018 08 674226·
 2018 09 483729·
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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: Unemployment Level: 18 years and over, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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