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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: NSA
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 2000 01 8067.
 2000 02 9760.
 2000 03 3658.
 2000 04 4954·
 2000 05 1462.
 2000 06 875.
 2000 07 1484.
 2000 08 4292.
 2000 09 8390.
 2000 10 8756.
 2000 11 6169·
 2000 12 176·
 2001 01  3770.
 2001 02  1466·
 2001 03  9161.
 2001 04  7245.
 2001 05  5250·
 2001 06  9668·
 2001 07  4258.
 2001 08  2499·
 2001 09  2976·
 2001 10  6672.
 2001 11  7659.
 2001 12  5163.
 2002 01 9260.
 2002 02 7958.
 2002 03 8167·
 2002 04 7274·
 2002 05 9291.
 2002 06 18103·
 2002 07 70111.
 2002 08 31107.
 2002 09 4111.
 2002 10 8993·
 2002 11 8175.
 2002 12 9783·
 2003 01  3057·
 2003 02  2451.
 2003 03  7758.
 2003 04  6463.
 2003 05  9382.
 2003 06  7968.
 2003 07  4668.
 2003 08  5282.
 2003 09  4569·
 2003 10  36107.
 2003 11  0112.
 2003 12  5103·
 2004 01 6265.
 2004 02 257·
 2004 03 7877.
 2004 04 9156.
 2004 05 4276·
 2004 06 892·
 2004 07 4299.
 2004 08 6101·
 2004 09 1290.
 2004 10 1089.
 2004 11 8169.
 2004 12 67100·
 2005 01  2393·
 2005 02  9293·
 2005 03  796.
 2005 04  20100·
 2005 05  4995·
 2005 06  5887.
 2005 07  5877·
 2005 08  3388.
 2005 09  9195.
 2005 10  42108·
 2005 11  9894.
 2005 12  175·
 2006 01 7487·
 2006 02 9989·
 2006 03 13122·
 2006 04 42106·
 2006 05 5089·
 2006 06 1190·
 2006 07 1778.
 2006 08 2105.
 2006 09 9290·
 2006 10 8488.
 2006 11 4774·
 2006 12 4878.
 2007 01  191·
 2007 02  5174·
 2007 03  6787.
 2007 04  7586.
 2007 05  486.
 2007 06  6889.
 2007 07  6595·
 2007 08  293·
 2007 09  5075.
 2007 10  1777.
 2007 11  5399.
 2007 12  7483.
 2008 01 1595·
 2008 02 474.
 2008 03 6962.
 2008 04 5988·
 2008 05 9886.
 2008 06 6191.
 2008 07 7788.
 2008 08 5263.
 2008 09 2674·
 2008 10 4583.
 2008 11 6369·
 2008 12 7285.
 2009 01  4980·
 2009 02  3782·
 2009 03  4291.
 2009 04  6375.
 2009 05  4395·
 2009 06  4469.
 2009 07  5096.
 2009 08  9397·
 2009 09  678·
 2009 10  9775.
 2009 11  5173.
 2009 12  5879·
 2010 01 6678·
 2010 02 5397.
 2010 03 32105·
 2010 04 77110.
 2010 05 73106·
 2010 06 9591.
 2010 07 783·
 2010 08 9385·
 2010 09 184·
 2010 10 2763·
 2010 11 1461.
 2010 12 7581.
 2011 01  5168.
 2011 02  8347·
 2011 03  1462.
 2011 04  1880·
 2011 05  4995·
 2011 06  1899.
 2011 07  9797.
 2011 08  41111·
 2011 09  45101.
 2011 10  1589.
 2011 11  7574.
 2011 12  8870.
 2012 01 1480·
 2012 02 8092·
 2012 03 86104·
 2012 04 29102·
 2012 05 5794.
 2012 06 4490·
 2012 07 9285.
 2012 08 5793.
 2012 09 9992·
 2012 10 65105·
 2012 11 8397·
 2012 12 91112·
 2013 01  91101.
 2013 02  24108·
 2013 03  69105·
 2013 04  7595·
 2013 05  894.
 2013 06  2778.
 2013 07  9182·
 2013 08  8083·
 2013 09  5096.
 2013 10  692·
 2013 11  10103.
 2013 12  98103·
 2014 01 42102·
 2014 02 19104.
 2014 03 14117·
 2014 04 50111·
 2014 05 3696.
 2014 06 4592·
 2014 07 16108·
 2014 08 79105.
 2014 09 6121.
 2014 10 93100.
 2014 11 55111·
 2014 12 5498.
 2015 01  54107·
 2015 02  9488.
 2015 03  92103·


 2015 04  6991.
 2015 05  381.
 2015 06  492.
 2015 07  16109·
 2015 08  4498.
 2015 09  5112.
 2015 10  5131.
 2015 11  40123·
 2015 12  23125·
 2016 01 35110.
 2016 02 4137.
 2016 03 1107·
 2016 04 7485.
 2016 05 94110·
 2016 06 3298·
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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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