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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: 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 4367·
 2000 02 3660·
 2000 03 7158·
 2000 04 3054.
 2000 05 2262·
 2000 06 5775.
 2000 07 4884.
 2000 08 3592.
 2000 09 4390·
 2000 10 5156.
 2000 11 069.
 2000 12 1476.
 2001 01  5670.
 2001 02  166·
 2001 03  4261·
 2001 04  1145·
 2001 05  3550.
 2001 06  1268·
 2001 07  1058.
 2001 08  9499.
 2001 09  8376.
 2001 10  1772·
 2001 11  6759·
 2001 12  5963.
 2002 01 2360·
 2002 02 7158.
 2002 03 267.
 2002 04 2474·
 2002 05 691·
 2002 06 58103.
 2002 07 28111·
 2002 08 33107.
 2002 09 8111·
 2002 10 8293·
 2002 11 8275·
 2002 12 5683.
 2003 01  2957.
 2003 02  7751·
 2003 03  2758.
 2003 04  8763·
 2003 05  9582·
 2003 06  9868·
 2003 07  5168.
 2003 08  4482·
 2003 09  5569.
 2003 10  27107.
 2003 11  66112·
 2003 12  72103·
 2004 01 8665.
 2004 02 7257·
 2004 03 1277·
 2004 04 4056·
 2004 05 8876.
 2004 06 6292·
 2004 07 5199.
 2004 08 43101·
 2004 09 8590·
 2004 10 5689.
 2004 11 7069·
 2004 12 98100·
 2005 01  2993·
 2005 02  3593.
 2005 03  8296·
 2005 04  52100.
 2005 05  9495·
 2005 06  587.
 2005 07  2677.
 2005 08  7288·
 2005 09  8295.
 2005 10  98108·
 2005 11  6494.
 2005 12  5275.
 2006 01 1887·
 2006 02 7189·
 2006 03 84122·
 2006 04 13106.
 2006 05 5189·
 2006 06 690.
 2006 07 078·
 2006 08 98105·
 2006 09 5890.
 2006 10 888·
 2006 11 4874.
 2006 12 7578·
 2007 01  3891·
 2007 02  1074.
 2007 03  9287·
 2007 04  4186.
 2007 05  1886.
 2007 06  6889·
 2007 07  2095.
 2007 08  1293·
 2007 09  4775.
 2007 10  6477·
 2007 11  4499·
 2007 12  3583·
 2008 01 195.
 2008 02 574.
 2008 03 362·
 2008 04 7788.
 2008 05 8186.
 2008 06 2291.
 2008 07 6088·
 2008 08 3363·
 2008 09 1174·
 2008 10 7283·
 2008 11 169.
 2008 12 2285·
 2009 01  4280·
 2009 02  3682·
 2009 03  4191.
 2009 04  8875.
 2009 05  5095·
 2009 06  2169·
 2009 07  1796.
 2009 08  097.
 2009 09  3578.
 2009 10  5975.
 2009 11  9273.
 2009 12  5379.
 2010 01 2278·
 2010 02 797.
 2010 03 53105.
 2010 04 66110.
 2010 05 61106.
 2010 06 4591·
 2010 07 1583·
 2010 08 8285.
 2010 09 2984.
 2010 10 8263.
 2010 11 1461·
 2010 12 7181.
 2011 01  2568·
 2011 02  4747.
 2011 03  1362.
 2011 04  2780·
 2011 05  7595·
 2011 06  9999.
 2011 07  197·
 2011 08  70111.
 2011 09  29101.
 2011 10  1889·
 2011 11  9174.
 2011 12  4270·
 2012 01 6380·
 2012 02 1192·
 2012 03 19104.
 2012 04 14102.
 2012 05 7794·
 2012 06 1190·
 2012 07 5085.
 2012 08 8093·
 2012 09 9692.
 2012 10 73105·
 2012 11 7097·
 2012 12 59112.
 2013 01  71101.
 2013 02  79108.
 2013 03  93105·
 2013 04  9495.
 2013 05  7794·
 2013 06  3578·
 2013 07  5782·
 2013 08  5583·


 2013 09  1596.
 2013 10  7592.
 2013 11  25103·
 2013 12  37103·
 2014 01 10102.
 2014 02 53104·
 2014 03 85117.
 2014 04 57111.
 2014 05 1296·
 2014 06 5292.
 2014 07 48108.
 2014 08 61105.
 2014 09 97121.
 2014 10 79100.
 2014 11 54111·
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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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