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 Series Title: Men, employed government wage and salary workers in Real estate and rental and leasing: NSA
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 2000 01 159.
 2000 02 078·
 2000 03 5473.
 2000 04 7161.
 2000 05 8658.
 2000 06 3257.
 2000 07 4868·
 2000 08 073·
 2000 09 3779·
 2000 10 6361·
 2000 11 4367·
 2000 12 2861.
 2001 01  450.
 2001 02  7453.
 2001 03  5236·
 2001 04  9847.
 2001 05  6449.
 2001 06  7149·
 2001 07  1349·
 2001 08  8165.
 2001 09  1654·
 2001 10  8764.
 2001 11  8866.
 2001 12  6942.
 2002 01 8738·
 2002 02 7841·
 2002 03 6629.
 2002 04 8336.
 2002 05 2551.
 2002 06 2647·
 2002 07 5955·
 2002 08 6656.
 2002 09 757·
 2002 10 3761·
 2002 11 564.
 2002 12 8860·
 2003 01  3451.
 2003 02  4240.
 2003 03  6835·
 2003 04  4256.
 2003 05  2953.
 2003 06  056.
 2003 07  3441.
 2003 08  4836·
 2003 09  4533·
 2003 10  9140·
 2003 11  1853.
 2003 12  5051·
 2004 01 5647·
 2004 02 2145·
 2004 03 5650·
 2004 04 1731·
 2004 05 6247·
 2004 06 2345.
 2004 07 1240·
 2004 08 4444·
 2004 09 8939.
 2004 10 5337.
 2004 11 7450.
 2004 12 4855·
 2005 01  8839.
 2005 02  9460·
 2005 03  5461·
 2005 04  7557·
 2005 05  3454.
 2005 06  5049.
 2005 07  9048·
 2005 08  9456.
 2005 09  2744·
 2005 10  5531.
 2005 11  4647·
 2005 12  9943.
 2006 01 9251·
 2006 02 6448·
 2006 03 938·
 2006 04 845.
 2006 05 8155.
 2006 06 5957.
 2006 07 9269·
 2006 08 6771·
 2006 09 6847.
 2006 10 4857·
 2006 11 3267.
 2006 12 4354·
 2007 01  5343.
 2007 02  6135·
 2007 03  9426.
 2007 04  3235.
 2007 05  6352.
 2007 06  5655.
 2007 07  6466.
 2007 08  5370.
 2007 09  4738.
 2007 10  1335.
 2007 11  5635.
 2007 12  4931·
 2008 01 8231·
 2008 02 4042.
 2008 03 833·
 2008 04 9040·
 2008 05 6652.
 2008 06 6934·
 2008 07 8235·
 2008 08 7036.
 2008 09 2636.
 2008 10 5546.
 2008 11 6628·
 2008 12 729.
 2009 01  1342.
 2009 02  8044·
 2009 03  7360.
 2009 04  4746.
 2009 05  139.
 2009 06  5239·
 2009 07  4241·
 2009 08  5931.
 2009 09  9044.
 2009 10  245·
 2009 11  3450·
 2009 12  3559.
 2010 01 774.
 2010 02 8563·
 2010 03 3968·
 2010 04 9752·
 2010 05 245.
 2010 06 8553·
 2010 07 6841·
 2010 08 8752·
 2010 09 5059·
 2010 10 839.
 2010 11 5941.
 2010 12 7544.
 2011 01  5159·
 2011 02  8573·
 2011 03  7657·
 2011 04  5551·
 2011 05  3168.
 2011 06  7363·
 2011 07  754.
 2011 08  4659·
 2011 09  4052.
 2011 10  5367.
 2011 11  6454.
 2011 12  9350·
 2012 01 5441·
 2012 02 3334·
 2012 03 8542.
 2012 04 6331.
 2012 05 7341.
 2012 06 4457·
 2012 07 3347.
 2012 08 5340·
 2012 09 2234.
 2012 10 4219·
 2012 11 9621·
 2012 12 8036·
 2013 01  5351.
 2013 02  957.
 2013 03  8751.
 2013 04  8946·
 2013 05  3949·
 2013 06  5241·
 2013 07  4445·
 2013 08  4938.
 2013 09  8240·
 2013 10  345·
 2013 11  2945·
 2013 12  5539.
 2014 01 638.
 2014 02 1836.
 2014 03 3151·
 2014 04 2480.
 2014 05 6488.
 2014 06 7887.
 2014 07 6279·
 2014 08 255.
 2014 09 2979.
 2014 10 9160.
 2014 11 6155.
 2014 12 5839.
 2015 01  228.
 2015 02  8827.
 2015 03  8945.
 2015 04  8559.
 2015 05  852.
 2015 06  2550.
 2015 07  3648·
 2015 08  342.
 2015 09  9943.
 2015 10  8535·
 2015 11  1423·
 2015 12  5632.
 2016 01 4847.
 2016 02 7452·
 2016 03 6166·
 2016 04 1358·
 2016 05 5863·
 2016 06 2345.
 2016 07 4052.
 2016 08 6970.
 2016 09 5246·
 2016 10 8955.
 2016 11 3855·
 2016 12 4269·
 2017 01  8381·
 2017 02  5576.
 2017 03  6971.
 2017 04  7662.
 2017 05  2340·
 2017 06  2643.
 2017 07  7036.
 2017 08  4235.
 2017 09  7630·


 2017 10  3436.
 2017 11  428·
 2017 12  3222.
 2018 01 6529.
 2018 02 3540.
 2018 03 6038·
 2018 04 6630.
 2018 05 4035·
 2018 06 1350·
 2018 07 5047·
 2018 08 8850.
 2018 09 7949·
 2018 10 7245.
 2018 11 1243·
 2018 12 6750.
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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: Men, employed government wage and salary workers in Real estate and rental and leasing: 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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