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 Series Title: Employment-Population Ratio: White: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 759·3
 2012 03 7259.5
 2012 02 4859·6
 2012 01 8159.4
 2011 12  4259·5
 2011 11  259·5
 2011 10  3759.3
 2011 09  5259.4
 2011 08  3159.4
 2011 07  1859.3
 2011 06  1459.3
 2011 05  859·5
 2011 04  2459·5
 2011 03  159·5
 2011 02  9259·3
 2011 01  9559.4
 2010 12 9759.2
 2010 11 5859.1
 2010 10 1059·2
 2010 09 8159·5
 2010 08 5059·5
 2010 07 2259·5
 2010 06 3059.5
 2010 05 6159·6
 2010 04 859.6
 2010 03 4859.5
 2010 02 3959.5
 2010 01 5359.6
 2009 12  2259·2
 2009 11  1859.5
 2009 10  5259.5
 2009 09  259.6
 2009 08  6760.0
 2009 07  3960.2
 2009 06  560·3
 2009 05  7860·5
 2009 04  4460.7
 2009 03  4260.7
 2009 02  6261.2
 2009 01  7361·4
 2008 12 7861.7
 2008 11 8462·1
 2008 10 1062·5
 2008 09 862.6
 2008 08 1962·7
 2008 07 4762.9
 2008 06 6363.1
 2008 05 2663.2
 2008 04 4363·2
 2008 03 3863·3
 2008 02 5863·4
 2008 01 9763·6
 2007 12  5063·5
 2007 11  8863.6
 2007 10  5863.5
 2007 09  1463·5
 2007 08  6663.3
 2007 07  5363·5
 2007 06  5163·7
 2007 05  9863.7
 2007 04  4063·6
 2007 03  1564·0
 2007 02  5163·9
 2007 01  9163.9
 2006 12 4964·1
 2006 11 8263·9
 2006 10 9463.9
 2006 09 6463·7
 2006 08 9263.8
 2006 07 8463.8
 2006 06 4463·8
 2006 05 963.7
 2006 04 9663.7
 2006 03 7863·7
 2006 02 8963.7
 2006 01 4763.7
 2005 12  1063·5
 2005 11  4663·4
 2005 10  4163·4
 2005 09  2263·4
 2005 08  1063.6
 2005 07  9563.5
 2005 06  3963·3
 2005 05  363.5
 2005 04  9663.4
 2005 03  5563·2
 2005 02  4563.2
 2005 01  8363.2
 2004 12 9463·2
 2004 11 8563·2
 2004 10 4763.1
 2004 09 8263·0
 2004 08 5463.2
 2004 07 6563.3
 2004 06 5863.1
 2004 05 4463.1
 2004 04 5163.0
 2004 03 262·9
 2004 02 1763·0
 2004 01 3963.0
 2003 12  8662.9
 2003 11  2863·0
 2003 10  8563.0
 2003 09  6062·7
 2003 08  8562.8
 2003 07  9962.9
 2003 06  5163·0
 2003 05  2663·0
 2003 04  9663.2
 2003 03  9763·2
 2003 02  2863·2
 2003 01  8363.2
 2002 12 9763·0
 2002 11 2863.2
 2002 10 5363.4
 2002 09 9863.5
 2002 08 8863·5
 2002 07 2563.4
 2002 06 9063.4
 2002 05 6663.5
 2002 04 9363.4
 2002 03 4463.6
 2002 02 2663·7
 2002 01 663·3
 2001 12  6363.6
 2001 11  6663·7
 2001 10  7463.8
 2001 09  6264·0
 2001 08  7463.9
 2001 07  9964.2
 2001 06  7364·2
 2001 05  464.3
 2001 04  2664·5
 2001 03  7364.9
 2001 02  8464·9
 2001 01  2565.0
 2000 12 4464.9
 2000 11 4664.7
 2000 10 9664·7
 2000 09 4564·7
 2000 08 7964·8
 2000 07 9964·7
 2000 06 2365.0
 2000 05 864·9
 2000 04 665·3
 2000 03 3965·1
 2000 02 165·1
 2000 01 8265·2
 1999 12  2565.1
 1999 11  9765.0
 1999 10  9364·9
 1999 09  6364.8
 1999 08  6364·8
 1999 07  3064.8
 1999 06  8864.8
 1999 05  6964·8
 1999 04  6864.7
 1999 03  2064.9
 1999 02  9864·9
 1999 01  4464.8
 1998 12 1864·8
 1998 11 7364.8
 1998 10 6264.7
 1998 09 5864·8
 1998 08 1164·6
 1998 07 2164·6
 1998 06 4164·6
 1998 05 464·8
 1998 04 7464·7
 1998 03 2164·6
 1998 02 2564.7
 1998 01 364·7
 1997 12  5764.8
 1997 11  5464·9
 1997 10  2664·7
 1997 09  9764·6
 1997 08  3564·7
 1997 07  2664.7
 1997 06  8164·7
 1997 05  5664.7
 1997 04  864·6
 1997 03  7164·5
 1997 02  5464.3
 1997 01  7564·3
 1996 12 364.3
 1996 11 4364.3
 1996 10 3364.5
 1996 09 7164·3
 1996 08 6964.1
 1996 07 2564.1
 1996 06 3064.1
 1996 05 9163.9
 1996 04 8263.8
 1996 03 2463·9
 1996 02 8463.9
 1996 01 263.5
 1995 12  4263.6
 1995 11  7163.6
 1995 10  5763·9
 1995 09  9863.9
 1995 08  7563.8
 1995 07  2263.9
 1995 06  3763.7
 1995 05  063·6
 1995 04  3063.9
 1995 03  6063·9
 1995 02  3764·0
 1995 01  5163.9
 1994 12 8464·1
 1994 11 9164·0
 1994 10 9563·9
 1994 09 2063·7
 1994 08 3763·7
 1994 07 4663.4
 1994 06 7463·3
 1994 05 163.6
 1994 04 1463·3
 1994 03 8363·1
 1994 02 6263·3
 1994 01 1463.2
 1993 12  6663·0
 1993 11  8363.0
 1993 10  7162·8
 1993 09  262.8
 1993 08  6762·9
 1993 07  5262.8
 1993 06  3962.8
 1993 05  3562·7
 1993 04  1962.5
 1993 03  2262·5
 1993 02  3162·4
 1993 01  762.4
 1992 12 4662·4
 1992 11 5162.3
 1992 10 3262·3
 1992 09 3762·3
 1992 08 062·4
 1992 07 1862.5
 1992 06 5662.3
 1992 05 6962.4
 1992 04 5562·6
 1992 03 3262.4
 1992 02 4262.3
 1992 01 7262·4
 1991 12  1262·1
 1991 11  2462.4
 1991 10  5262·5
 1991 09  4162.5
 1991 08  9662·4
 1991 07  5062.4
 1991 06  7362.6
 1991 05  9562·5
 1991 04  5862.9
 1991 03  9262·6
 1991 02  1962.8
 1991 01  7762.9
 1990 12 7363.1
 1990 11 5763.2
 1990 10 2863.4
 1990 09 5763.5
 1990 08 4163·7
 1990 07 7663·8
 1990 06 6263.8
 1990 05 3063·8
 1990 04 8863.8
 1990 03 664·0
 1990 02 1064·0
 1990 01 1364·0
 1989 12  6563.8
 1989 11  2963·9
 1989 10  8463.8
 1989 09  5263·6
 1989 08  4663.8
 1989 07  5163.7
 1989 06  2263·8
 1989 05  1563.7
 1989 04  3263·8
 1989 03  463·8
 1989 02  8863.7
 1989 01  9763.7
 1988 12 4863·4
 1988 11 4463·5
 1988 10 6863·2
 1988 09 1663.2
 1988 08 4663·2
 1988 07 5363.0
 1988 06 7663·1
 1988 05 1762·9
 1988 04 9963.1
 1988 03 3962·8
 1988 02 5062·9
 1988 01 7062·8
 1987 12  962·7
 1987 11  3262·6
 1987 10  5262.5
 1987 09  6762.4
 1987 08  162·5
 1987 07  8862·3
 1987 06  7262·2
 1987 05  2962·5
 1987 04  2562.1
 1987 03  9162·0
 1987 02  2061·9
 1987 01  9961·9
 1986 12 5861.9
 1986 11 4661·8
 1986 10 3661·7
 1986 09 4761.7
 1986 08 9861.8
 1986 07 8561.6
 1986 06 8261.6
 1986 05 6661·3
 1986 04 7261·3
 1986 03 6561.3
 1986 02 4661·1
 1986 01 7661·5
 1985 12  2961·3
 1985 11  6761·3
 1985 10  4161.3
 1985 09  2261.2
 1985 08  4660·8
 1985 07  9860·8
 1985 06  560.6
 1985 05  7161.0
 1985 04  2361.0
 1985 03  8961.1
 1985 02  160·9
 1985 01  1960.7
 1984 12 8560·8
 1984 11 9860·6
 1984 10 1660·6
 1984 09 8460.5
 1984 08 8260·4
 1984 07 560·8
 1984 06 6460·9
 1984 05 1160·7
 1984 04 9060·3
 1984 03 1860·2
 1984 02 8360·1
 1984 01 6859·9
 1983 12  960·0
 1983 11  6959.8
 1983 10  3459·5
 1983 09  5059.5
 1983 08  6559·3
 1983 07  1359.1
 1983 06  758.9
 1983 05  7658·3
 1983 04  958.3
 1983 03  3258.1
 1983 02  1458·1
 1983 01  9158.2
 1982 12 1458.2
 1982 11 3358.3
 1982 10 9358.5
 1982 09 6258·7
 1982 08 8258.8
 1982 07 4958.8
 1982 06 758·9
 1982 05 8559.3
 1982 04 3959·0
 1982 03 3459·1
 1982 02 4459·2
 1982 01 7859·1
 1981 12  3459·2
 1981 11  7159·5
 1981 10  1659·8
 1981 09  8759·6
 1981 08  4360.1
 1981 07  6860.1
 1981 06  6260·0
 1981 05  7960·5
 1981 04  6760.4
 1981 03  5460·2
 1981 02  4560·2
 1981 01  4960.0
 1980 12 3059·9
 1980 11 8759·8
 1980 10 5259.8
 1980 09 1659.7
 1980 08 8459·5
 1980 07 4959.6
 1980 06 9659·7
 1980 05 2460.0
 1980 04 360·2
 1980 03 4660·6
 1980 02 1560.8
 1980 01 4260.8
 1979 12  8860·9
 1979 11  1060·6
 1979 10  7260.6
 1979 09  6660·7
 1979 08  6460·4
 1979 07  9760·7
 1979 06  5560.6
 1979 05  1260.5
 1979 04  8260·5
 1979 03  9060·7
 1979 02  7760.9
 1979 01  2760.7
 1978 12 1760·5
 1978 11 9460·4
 1978 10 7560.3
 1978 09 7960·1
 1978 08 7060·1
 1978 07 4160.0
 1978 06 1460.3
 1978 05 6159·9
 1978 04 6559.8
 1978 03 8959·5
 1978 02 7959·5
 1978 01 9459.5
 1977 12  5459·4
 1977 11  1859.3
 1977 10  8559.0
 1977 09  2258·8
 1977 08  1258.8
 1977 07  3658·6
 1977 06  6958·6
 1977 05  1258·6
 1977 04  3958.4
 1977 03  7358.2
 1977 02  9558.0
 1977 01  6157.7
 1976 12 6057·7
 1976 11 8757·6
 1976 10 4957.6
 1976 09 8657.6
 1976 08 2657.7
 1976 07 6057.7
 1976 06 4657.5
 1976 05 3257.6
 1976 04 1257.5
 1976 03 9757·3
 1976 02 2257·3
 1976 01 6857.1
 1975 12  1956·7
 1975 11  3156.6
 1975 10  4156.7
 1975 09  8956.7
 1975 08  7156·8
 1975 07  1856·7
 1975 06  9056.5
 1975 05  1356·6
 1975 04  2156.5
 1975 03  3956·6
 1975 02  8356·7
 1975 01  8457.0
 1974 12 4257.5
 1974 11 257·8
 1974 10 5758.1
 1974 09 7258·2
 1974 08 3558.3
 1974 07 3958.5
 1974 06 7658.4
 1974 05 7058.4
 1974 04 2658·4
 1974 03 558.6
 1974 02 2758.6
 1974 01 9958·5
 1973 12  6558·5
 1973 11  8258·6
 1973 10  2358.5
 1973 09  258·3
 1973 08  2758.1
 1973 07  7758.3
 1973 06  158·4
 1973 05  4758.1
 1973 04  1358·1
 1973 03  2258·1
 1973 02  2657.8
 1973 01  3157.4
 1972 12 4857.7
 1972 11 7357·5
 1972 10 8457·4
 1972 09 7057·4
 1972 08 8357·5
 1972 07 1257·3
 1972 06 8957·3
 1972 05 1057·3
 1972 04 9257·2
 1972 03 4657·3
 1972 02 7857·1
 1972 01 2057.2
 1971 12  7757.1
 1971 11  657.0
 1971 10  1556.9
 1971 09  9456·8
 1971 08  6356.8
 1971 07  4956·7
 1971 06  8756·4
 1971 05  5156·8
 1971 04  056.8
 1971 03  5656.6
 1971 02  856.8
 1971 01  3557·0
 1970 12 6356·9
 1970 11 3457.0
 1970 10 1457·2
 1970 09 1657.1
 1970 08 5357.3
 1970 07 1557.4
 1970 06 6957.3
 1970 05 8757.5
 1970 04 9657·9
 1970 03 5658·0
 1970 02 6157.9
 1970 01 6758.0
 1969 12  4158·1
 1969 11  3758·0
 1969 10  358.0
 1969 09  258·0
 1969 08  6458·1
 1969 07  6758·0
 1969 06  3358·1
 1969 05  5957.8
 1969 04  6557.9
 1969 03  7557·9
 1969 02  1357·9
 1969 01  3357.5
 1968 12 7157·6
 1968 11 2057·6
 1968 10 3157.4
 1968 09 4357.5
 1968 08 3157·5
 1968 07 8257.6
 1968 06 157.7
 1968 05 3457.7
 1968 04 2057.3
 1968 03 6857·3
 1968 02 6057.2
 1968 01 7456.9
 1967 12  3957·5
 1967 11  1057.3
 1967 10  7157·4
 1967 09  5857·3
 1967 08  1457.5
 1967 07  6557.3
 1967 06  2257.1
 1967 05  456.9
 1967 04  9456.9
 1967 03  1456.8
 1967 02  2656.9
 1967 01  5757·0
 1966 12 5657·2
 1966 11 6457·3
 1966 10 2057.0
 1966 09 8656·8
 1966 08 9956.9
 1966 07 4656·7
 1966 06 6856.7
 1966 05 8656.6
 1966 04 4956.5
 1966 03 1856·4
 1966 02 5856.4
 1966 01 7456·5
 1965 12  5756.4
 1965 11  6056.1
 1965 10  256.1
 1965 09  9755·9
 1965 08  9756·0
 1965 07  7956.3
 1965 06  3956·0
 1965 05  2156.0
 1965 04  7155.8
 1965 03  855·8
 1965 02  3155.7
 1965 01  4355·6
 1964 12 355.5
 1964 11 255·4
 1964 10 6555·4
 1964 09 8055·5
 1964 08 4355·6
 1964 07 4355.6
 1964 06 5655·5
 1964 05 7755.9
 1964 04 6955.8
 1964 03 3855·4
 1964 02 4155·4
 1964 01 455·2
 1963 12  7955·2
 1963 11  1955.3
 1963 10  8255·5
 1963 09  5355.4
 1963 08  9955·2
 1963 07  4355.3
 1963 06  6855·2
 1963 05  4555.2
 1963 04  7955.3
 1963 03  9055·2
 1963 02  1255.1
 1963 01  2455·1
 1962 12 9555.2
 1962 11 6755·1
 1962 10 5155·4
 1962 09 5855·6
 1962 08 4855·5
 1962 07 755.2
 1962 06 4955·5
 1962 05 4255·5
 1962 04 6255·5
 1962 03 6555·5
 1962 02 9255.6
 1962 01 9555·4
 1961 12  8855.2
 1961 11  2455.4
 1961 10  9555·1
 1961 09  6254·9
 1961 08  255.2
 1961 07  9055·1
 1961 06  9555.5
 1961 05  1055.1
 1961 04  455.2
 1961 03  9455·5
 1961 02  5455.3
 1961 01  3555·5
 1960 12 1855.5
 1960 11 9455·9
 1960 10 6255.5
 1960 09 5556.1
 1960 08 9755.8
 1960 07 7156·0
 1960 06 3056.1
 1960 05 1656.2
 1960 04 1456.2
 1960 03 3255.4
 1960 02 9756·1
 1960 01 8455·9
 1959 12  7156·1
 1959 11  855.5
 1959 10  2555.9
 1959 09  5655.8
 1959 08  9255·9
 1959 07  5556·1
 1959 06  256.0
 1959 05  5056·0
 1959 04  2956·1
 1959 03  5755.8
 1959 02  4255.5
 1959 01  1155·6
 1958 12 5655·5
 1958 11 1855·4
 1958 10 8255.3
 1958 09 655.2
 1958 08 7455·2
 1958 07 7155·0
 1958 06 8555·0
 1958 05 3155.2
 1958 04 955.1
 1958 03 7355·3
 1958 02 3955·5
 1958 01 555.8
 1957 12  1056·4
 1957 11  556.3
 1957 10  5656.6
 1957 09  7256·7
 1957 08  5456.7
 1957 07  7457.2
 1957 06  7557·0
 1957 05  056·8
 1957 04  4056·9
 1957 03  1157·3
 1957 02  5957·2
 1957 01  8556·9
 1956 12 9357.0
 1956 11 7357.2
 1956 10 9657.2
 1956 09 4557·4
 1956 08 6557.4
 1956 07 4157·3
 1956 06 9757.4
 1956 05 2457·4
 1956 04 3157·2
 1956 03 2457·1
 1956 02 257.2
 1956 01 9257.5
 1955 12  9157·3
 1955 11  5057.1
 1955 10  7357.0
 1955 09  4256.8
 1955 08  7057·0
 1955 07  7956·7
 1955 06  9856·1
 1955 05  9456.1
 1955 04  1956.1
 1955 03  9155.7
 1955 02  9055·8
 1955 01  9255·6
 1954 12 1455.1
 1954 11 9355.4
 1954 10 8755.0
 1954 09 655·0
 1954 08 5455·0
 1954 07 1654·7
 1954 06 5254.9
 1954 05 2855·1
 1954 04 6555.3
 1954 03 1755·8
 1954 02 7256·1
 1954 01 7955·5
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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-Population Ratio: White: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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