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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: NSA
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 2000 01 3367.
 2000 02 4960·
 2000 03 2558·
 2000 04 1254.
 2000 05 8862·
 2000 06 3275·
 2000 07 2484·
 2000 08 7692.
 2000 09 7990·
 2000 10 8256·
 2000 11 9469.
 2000 12 876·
 2001 01  5570·
 2001 02  8166.
 2001 03  4561·
 2001 04  5145.
 2001 05  9250.
 2001 06  3568·
 2001 07  1858.
 2001 08  7499·
 2001 09  9076.
 2001 10  7772·
 2001 11  7359·
 2001 12  7363.
 2002 01 7560·
 2002 02 6258.
 2002 03 067.
 2002 04 6674·
 2002 05 9791.
 2002 06 73103·
 2002 07 11111·
 2002 08 96107.
 2002 09 32111·
 2002 10 1693·
 2002 11 4475.
 2002 12 3483.
 2003 01  7957·
 2003 02  2351.
 2003 03  6258.
 2003 04  7463·
 2003 05  6482.
 2003 06  5068.
 2003 07  5368·
 2003 08  3382·
 2003 09  3969.
 2003 10  78107·
 2003 11  29112.
 2003 12  58103·
 2004 01 7765.
 2004 02 1657.
 2004 03 2977.
 2004 04 1656.
 2004 05 7976.
 2004 06 9492.
 2004 07 1599.
 2004 08 3101·
 2004 09 7190·
 2004 10 6889·
 2004 11 7669·
 2004 12 36100·
 2005 01  493·
 2005 02  2293.
 2005 03  2496·
 2005 04  61100·
 2005 05  5295.
 2005 06  6087·
 2005 07  9777·
 2005 08  4688.
 2005 09  1595.
 2005 10  15108·
 2005 11  5894.
 2005 12  8575·
 2006 01 2187·
 2006 02 4489·
 2006 03 95122·
 2006 04 99106·
 2006 05 1889·
 2006 06 2890·
 2006 07 2178.
 2006 08 30105·
 2006 09 8290·
 2006 10 7388·
 2006 11 7374.
 2006 12 4878·
 2007 01  1391.
 2007 02  1274·
 2007 03  1587.
 2007 04  4786·
 2007 05  3886.
 2007 06  189·
 2007 07  3595·
 2007 08  4693.
 2007 09  675.
 2007 10  2277·
 2007 11  4599·
 2007 12  9083.
 2008 01 9295.
 2008 02 8174·
 2008 03 8362·
 2008 04 4788·
 2008 05 9886.
 2008 06 1091·
 2008 07 1288·
 2008 08 1263.
 2008 09 4874.
 2008 10 6583.
 2008 11 2069·
 2008 12 385.
 2009 01  9280·
 2009 02  2982·
 2009 03  2191·
 2009 04  6675·
 2009 05  895·
 2009 06  869.
 2009 07  5196.
 2009 08  6997.
 2009 09  9378·
 2009 10  3375.
 2009 11  7473·
 2009 12  579·
 2010 01 7578.
 2010 02 6197.
 2010 03 77105·
 2010 04 96110.
 2010 05 3106.
 2010 06 7491·
 2010 07 7483·
 2010 08 8385.
 2010 09 5384·
 2010 10 7963·
 2010 11 261·
 2010 12 3881·
 2011 01  2568·
 2011 02  647.
 2011 03  2462·
 2011 04  5380·
 2011 05  4595.
 2011 06  1499·
 2011 07  2997·
 2011 08  48111·
 2011 09  63101.
 2011 10  8289·
 2011 11  2974.
 2011 12  6770.
 2012 01 5480.
 2012 02 1992.
 2012 03 62104·
 2012 04 79102·
 2012 05 1994.
 2012 06 5590·
 2012 07 9085·
 2012 08 7993.
 2012 09 8392.
 2012 10 48105·
 2012 11 297·
 2012 12 85112.
 2013 01  97101.
 2013 02  79108·
 2013 03  11105.
 2013 04  4195.
 2013 05  3594·
 2013 06  5478.
 2013 07  5482.
 2013 08  1883.
 2013 09  9996·
 2013 10  592·
 2013 11  95103·
 2013 12  8103.
 2014 01 14102·
 2014 02 89104·
 2014 03 21117.
 2014 04 31111.


 2014 05 2996·
 2014 06 8892·
 2014 07 45108·
 2014 08 32105·
 2014 09 21121.
 2014 10 7100·
 2014 11 5111.
 2014 12 7998.
 2015 01  90107·
 2015 02  8088·
 2015 03  65103.
 2015 04  6691.
 2015 05  6281·
 2015 06  6292.
 2015 07  11109·
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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: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: 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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