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 Series Title: Employment-Population Ratio: 16-19 years, White Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 129·3
 2012 03 5130.4
 2012 02 4930·1
 2012 01 530·8
 2011 12  5230·9
 2011 11  2531.5
 2011 10  6131·5
 2011 09  2731.3
 2011 08  7030.9
 2011 07  9829·9
 2011 06  7330·4
 2011 05  4630.3
 2011 04  530.2
 2011 03  5129.9
 2011 02  9928.9
 2011 01  929·5
 2010 12 3229·6
 2010 11 9029.6
 2010 10 7730·0
 2010 09 8430·5
 2010 08 5231·2
 2010 07 4930.0
 2010 06 7030.0
 2010 05 6430·1
 2010 04 8931.6
 2010 03 8230.7
 2010 02 6431.0
 2010 01 7030·6
 2009 12  9531.5
 2009 11  7131.3
 2009 10  7530·0
 2009 09  4631.4
 2009 08  4432·2
 2009 07  2533.6
 2009 06  3834.2
 2009 05  6034.7
 2009 04  3834.4
 2009 03  7335.4
 2009 02  1836.7
 2009 01  635·6
 2008 12 034.9
 2008 11 7235.3
 2008 10 236.6
 2008 09 436.1
 2008 08 8336.5
 2008 07 536.6
 2008 06 236·8
 2008 05 9837·6
 2008 04 6138.6
 2008 03 7838.2
 2008 02 5838·5
 2008 01 5839·6
 2007 12  3539.6
 2007 11  2240·4
 2007 10  3139.2
 2007 09  7639·6
 2007 08  3038·4
 2007 07  9539·3
 2007 06  1039.3
 2007 05  7338.2
 2007 04  9638·2
 2007 03  7739.2
 2007 02  739.7
 2007 01  9239·8
 2006 12 841·2
 2006 11 7641.2
 2006 10 6140.4
 2006 09 339·2
 2006 08 6940·7
 2006 07 2241.7
 2006 06 3341·4
 2006 05 041·9
 2006 04 141·8
 2006 03 7441·1
 2006 02 1341.4
 2006 01 241.4
 2005 12  5740·4
 2005 11  1240·9
 2005 10  1441·8
 2005 09  5242·9
 2005 08  1143.3
 2005 07  4241·9
 2005 06  7242·0
 2005 05  2141.8
 2005 04  6441.2
 2005 03  9841.7
 2005 02  5041·5
 2005 01  241.5
 2004 12 4141.0
 2004 11 3539·9
 2004 10 3840.2
 2004 09 1540·1
 2004 08 9240·0
 2004 07 3440.2
 2004 06 4740·2
 2004 05 341·6
 2004 04 9440·5
 2004 03 440.1
 2004 02 1640.0
 2004 01 3639·9
 2003 12  4539·0
 2003 11  7441·3
 2003 10  741·3
 2003 09  840·8
 2003 08  7341.2
 2003 07  240.9
 2003 06  841.1
 2003 05  3841·8
 2003 04  2642.6
 2003 03  7042.5
 2003 02  3342.7
 2003 01  7143.1
 2002 12 8143.2
 2002 11 8443.4
 2002 10 1943.5
 2002 09 7444·0
 2002 08 3844.1
 2002 07 7644.2
 2002 06 2844·3
 2002 05 4343.3
 2002 04 2244.2
 2002 03 246.1
 2002 02 5044·6
 2002 01 9744.5
 2001 12  8444·9
 2001 11  4447·0
 2001 10  9646.3
 2001 09  7945.6
 2001 08  9943·3
 2001 07  846.1
 2001 06  547.1
 2001 05  5946.2
 2001 04  6846.6
 2001 03  2847·7
 2001 02  3948.4
 2001 01  3148·5
 2000 12 1549·1
 2000 11 5848.6
 2000 10 8748·3
 2000 09 1548.6
 2000 08 9148.4
 2000 07 8048·0
 2000 06 6149.4
 2000 05 5348·8
 2000 04 7249·7
 2000 03 248.3
 2000 02 9948·5
 2000 01 1649·7
 1999 12  5848.3
 1999 11  5548·7
 1999 10  6448.5
 1999 09  9847·8
 1999 08  7547.9
 1999 07  9548·4
 1999 06  4546·3
 1999 05  1849·1
 1999 04  7248.6
 1999 03  549·3
 1999 02  5349·2
 1999 01  1948.5
 1998 12 2649·1
 1998 11 9047·6
 1998 10 2748·6
 1998 09 7150·9
 1998 08 3649.2
 1998 07 8349·5
 1998 06 2948.4
 1998 05 6950.0
 1998 04 2848·3
 1998 03 4049·9
 1998 02 4850·0
 1998 01 3050.7
 1997 12  5247.9
 1997 11  4347·3
 1997 10  9746·7
 1997 09  046.8
 1997 08  8447·3
 1997 07  9847·6
 1997 06  1247·6
 1997 05  4846.9
 1997 04  2448·4
 1997 03  3746.8
 1997 02  5846.4
 1997 01  6846.9
 1996 12 9847.9
 1996 11 1649·0
 1996 10 2349·2
 1996 09 7849.3
 1996 08 5647.2
 1996 07 1847·7
 1996 06 1847.3
 1996 05 2347.1
 1996 04 7346.3
 1996 03 4947·0
 1996 02 8247.1
 1996 01 7346.7
 1995 12  4946·5
 1995 11  4146·9
 1995 10  7747·9
 1995 09  2047.2
 1995 08  1148.7
 1995 07  4947·0
 1995 06  9349·6
 1995 05  8548.0
 1995 04  948.5
 1995 03  5749.3
 1995 02  4148·0
 1995 01  1249.8
 1994 12 1749.2
 1994 11 7048·0
 1994 10 5946·7
 1994 09 6945.6
 1994 08 3647.7
 1994 07 2047.5
 1994 06 1148·2
 1994 05 5248·7
 1994 04 9248.3
 1994 03 6447.1
 1994 02 8447.0
 1994 01 7846.7
 1993 12  3546·8
 1993 11  8347.3
 1993 10  9146·6
 1993 09  9246·6
 1993 08  4146·0
 1993 07  8546·0
 1993 06  7044.7
 1993 05  6445·1
 1993 04  944·9
 1993 03  044.2
 1993 02  8445·0
 1993 01  8744.9
 1992 12 6644.6
 1992 11 8643·9
 1992 10 2144·3
 1992 09 8044.2
 1992 08 6145.2
 1992 07 2343.8
 1992 06 9342·5
 1992 05 8844·1
 1992 04 7043·8
 1992 03 1944·5
 1992 02 3944·7
 1992 01 8044.9
 1991 12  9345·1
 1991 11  645·8
 1991 10  2145·9
 1991 09  5045·4
 1991 08  5745.1
 1991 07  3944.0
 1991 06  2846·2
 1991 05  1745.2
 1991 04  1047.8
 1991 03  146.6
 1991 02  7247.0
 1991 01  2546.4
 1990 12 2946.8
 1990 11 9846·7
 1990 10 9147.1
 1990 09 4447·9
 1990 08 1448.2
 1990 07 6149·0
 1990 06 4948.6
 1990 05 6748·4
 1990 04 9148.8
 1990 03 4949·9
 1990 02 3248.7
 1990 01 1449·5
 1989 12  949.8
 1989 11  4151·4
 1989 10  5350.9
 1989 09  2950.7
 1989 08  4451.4
 1989 07  4549·4
 1989 06  5250.7
 1989 05  8050·3
 1989 04  9650.4
 1989 03  9349.8
 1989 02  9050.0
 1989 01  6351.3
 1988 12 9250·2
 1988 11 4149·9
 1988 10 5650·6
 1988 09 9650.8
 1988 08 8150.4
 1988 07 7051.5
 1988 06 6252.3
 1988 05 2349.2
 1988 04 3849·2
 1988 03 8748·2
 1988 02 4650·2
 1988 01 1449.8
 1987 12  6550·1
 1987 11  2549.1
 1987 10  7148.5
 1987 09  6248·0
 1987 08  8650.3
 1987 07  3949.1
 1987 06  2648.4
 1987 05  8850·4
 1987 04  5249·2
 1987 03  1148.4
 1987 02  2247.8
 1987 01  3448·1
 1986 12 3848·2
 1986 11 4947·6
 1986 10 9848·4
 1986 09 7047·3
 1986 08 4548.1
 1986 07 8247.1
 1986 06 1747.9
 1986 05 9048·1
 1986 04 9848.0
 1986 03 6949·2
 1986 02 6747.9
 1986 01 1446·8
 1985 12  4747·2
 1985 11  9148.1
 1985 10  6047·2
 1985 09  8547·8
 1985 08  6846·2
 1985 07  5446.8
 1985 06  3444.4
 1985 05  7346·6
 1985 04  6246·7
 1985 03  9048.0
 1985 02  5348·9
 1985 01  7247·2
 1984 12 5346·8
 1984 11 5646.8
 1984 10 346.8
 1984 09 047.0
 1984 08 9145.8
 1984 07 3349·0
 1984 06 9947.6
 1984 05 347·2
 1984 04 5447·2
 1984 03 2946.1
 1984 02 7846·5
 1984 01 4947·5
 1983 12  4046.3
 1983 11  7445·3
 1983 10  245·0
 1983 09  3245·2
 1983 08  7545·6
 1983 07  2544·5
 1983 06  6144·2
 1983 05  7242·8
 1983 04  943.4
 1983 03  6443·8
 1983 02  6643.9
 1983 01  1244·5
 1982 12 1943.7
 1982 11 9844.6
 1982 10 5544.7
 1982 09 2244·9
 1982 08 444.4
 1982 07 5744·5
 1982 06 9244.6
 1982 05 9645·4
 1982 04 9045·3
 1982 03 044·5
 1982 02 6444·3
 1982 01 5344.3
 1981 12  2644·4
 1981 11  744.7
 1981 10  8444.9
 1981 09  3745·6
 1981 08  9047·2
 1981 07  8646.1
 1981 06  9045·4
 1981 05  1747·0
 1981 04  8047·3
 1981 03  6747.2
 1981 02  4647.4
 1981 01  8847·1
 1980 12 2248.2
 1980 11 748.0
 1980 10 3848.4
 1980 09 6948.3
 1980 08 6746.5
 1980 07 8947.9
 1980 06 8047.5
 1980 05 347·4
 1980 04 9047·3
 1980 03 1847·6
 1980 02 948.3
 1980 01 6049.5
 1979 12  9249·6
 1979 11  2749.9
 1979 10  8949·3
 1979 09  3448·7
 1979 08  9747.7
 1979 07  7149.2
 1979 06  849.1
 1979 05  4549·0
 1979 04  5749.4
 1979 03  3350.5
 1979 02  7750.4
 1979 01  3549·9
 1978 12 4649·4
 1978 11 2049.1
 1978 10 3649.4
 1978 09 7548·8
 1978 08 6649.9
 1978 07 6249.0
 1978 06 4749·3
 1978 05 5949.0
 1978 04 4048·1
 1978 03 1746.7
 1978 02 9846.8
 1978 01 546.8
 1977 12  2146·9
 1977 11  6646.6
 1977 10  246·1
 1977 09  5945·8
 1977 08  8248.1
 1977 07  1646·2
 1977 06  9746.3
 1977 05  8844.7
 1977 04  2645·4
 1977 03  9845.5
 1977 02  4545·3
 1977 01  8743.6
 1976 12 7643·2
 1976 11 6944·3
 1976 10 3544.4
 1976 09 7644·3
 1976 08 8343·7
 1976 07 1145.9
 1976 06 7944.3
 1976 05 9845.5
 1976 04 2444·3
 1976 03 3143.8
 1976 02 1543·2
 1976 01 2343·1
 1975 12  9742·8
 1975 11  5942·5
 1975 10  742.2
 1975 09  4442.9
 1975 08  2942·4
 1975 07  5342·3
 1975 06  4241·9
 1975 05  8242.4
 1975 04  7042·3
 1975 03  9542·5
 1975 02  3342·6
 1975 01  7943.6
 1974 12 9543·4
 1974 11 9044·2
 1974 10 1744·7
 1974 09 544·6
 1974 08 544.1
 1974 07 7143.8
 1974 06 5943·9
 1974 05 5543·7
 1974 04 2544.3
 1974 03 9444.6
 1974 02 4544.9
 1974 01 4744.6
 1973 12  644.9
 1973 11  4144.8
 1973 10  8944.7
 1973 09  2544.3
 1973 08  2243·7
 1973 07  1942.6
 1973 06  2844·7
 1973 05  6043·5
 1973 04  7443.0
 1973 03  5843·0
 1973 02  2542·1
 1973 01  4441.6
 1972 12 8942·6
 1972 11 1742.2
 1972 10 6941.2
 1972 09 9740.6
 1972 08 1541·2
 1972 07 7641·2
 1972 06 7241·2
 1972 05 6341·9
 1972 04 2941·4
 1972 03 4140.8
 1972 02 7140.7
 1972 01 1240·6
 1971 12  3039·7
 1971 11  4638.6
 1971 10  3138·1
 1971 09  3738·4
 1971 08  4540·0
 1971 07  4638.2
 1971 06  3836·7
 1971 05  5738·1
 1971 04  2338·4
 1971 03  2338·3
 1971 02  739.0
 1971 01  1739.0
 1970 12 4137·6
 1970 11 8338·3
 1970 10 7339·7
 1970 09 8640·3
 1970 08 9740.0
 1970 07 5939·6
 1970 06 138.2
 1970 05 5839.8
 1970 04 1939·8
 1970 03 740·0
 1970 02 7940.6
 1970 01 5240·2
 1969 12  5641.6
 1969 11  841.7
 1969 10  1941.4
 1969 09  1240.0
 1969 08  8340.0
 1969 07  7040.2
 1969 06  5839.9
 1969 05  837·5
 1969 04  138.3
 1969 03  2337.8
 1969 02  6137·2
 1969 01  3337·3
 1968 12 3637·1
 1968 11 2537·9
 1968 10 1537·4
 1968 09 738.3
 1968 08 3738.1
 1968 07 5737.5
 1968 06 3337.8
 1968 05 7337.6
 1968 04 8037·3
 1968 03 2538·4
 1968 02 5238·2
 1968 01 237.9
 1967 12  6637.9
 1967 11  6237·1
 1967 10  3636·8
 1967 09  8637·1
 1967 08  2037·9
 1967 07  2438.2
 1967 06  7237.6
 1967 05  4637.2
 1967 04  9238·4
 1967 03  9337.7
 1967 02  7437.9
 1967 01  2638.2
 1966 12 5840.0
 1966 11 7539·1
 1966 10 7938.1
 1966 09 9336·6
 1966 08 1838.6
 1966 07 237.8
 1966 06 5037.0
 1966 05 4436·4
 1966 04 9735·8
 1966 03 3136·0
 1966 02 7535·9
 1966 01 9636·7
 1965 12  4637·2
 1965 11  4236·1
 1965 10  6736·6
 1965 09  9435·0
 1965 08  4033·7
 1965 07  4433.5
 1965 06  6432.2
 1965 05  732.9
 1965 04  8032.3
 1965 03  6731·9
 1965 02  2830.9
 1965 01  2930·9
 1964 12 9231·8
 1964 11 6932·3
 1964 10 4931·4
 1964 09 8032·7
 1964 08 2431.9
 1964 07 3032·3
 1964 06 3732.0
 1964 05 331·9
 1964 04 5331.2
 1964 03 5732·8
 1964 02 3233·3
 1964 01 6832·4
 1963 12  8031.6
 1963 11  8331·4
 1963 10  9733·5
 1963 09  6932·9
 1963 08  2932·8
 1963 07  6332·7
 1963 06  1832.2
 1963 05  2433.9
 1963 04  5133.5
 1963 03  8032·7
 1963 02  1033·9
 1963 01  7933.8
 1962 12 2133·5
 1962 11 4033.9
 1962 10 933.7
 1962 09 234·4
 1962 08 4135.8
 1962 07 7435·3
 1962 06 7937·0
 1962 05 8735.6
 1962 04 3434.5
 1962 03 4034·9
 1962 02 833.8
 1962 01 5334.0
 1961 12  5234·7
 1961 11  1835·7
 1961 10  934.1
 1961 09  4633.3
 1961 08  7034.5
 1961 07  1734·1
 1961 06  1934.9
 1961 05  3333·3
 1961 04  8835.7
 1961 03  6636·0
 1961 02  234.5
 1961 01  934.6
 1960 12 3233·7
 1960 11 2333·7
 1960 10 4434·7
 1960 09 9234·2
 1960 08 5233.8
 1960 07 7036·2
 1960 06 6038·3
 1960 05 2837.2
 1960 04 2335.8
 1960 03 1335.1
 1960 02 8734·9
 1960 01 8634·0
 1959 12  4634·4
 1959 11  8333.7
 1959 10  8834.5
 1959 09  5934·6
 1959 08  4734.9
 1959 07  3834·4
 1959 06  5134.4
 1959 05  6633.9
 1959 04  7535.3
 1959 03  5934.8
 1959 02  8936·0
 1959 01  5236·6
 1958 12 735.7
 1958 11 5335·0
 1958 10 3934·9
 1958 09 8734·5
 1958 08 4134.1
 1958 07 5132.0
 1958 06 6534.7
 1958 05 6337.4
 1958 04 535·3
 1958 03 1036·2
 1958 02 5436·4
 1958 01 034.7
 1957 12  4837.2
 1957 11  1137·9
 1957 10  1938.6
 1957 09  4238.8
 1957 08  4536.3
 1957 07  6237·8
 1957 06  9937.6
 1957 05  5937.8
 1957 04  9838·3
 1957 03  9439·5
 1957 02  5639.6
 1957 01  4540.0
 1956 12 3140·5
 1956 11 6339·5
 1956 10 7739·1
 1956 09 1839.4
 1956 08 9439·4
 1956 07 5239.8
 1956 06 7739·7
 1956 05 2439·0
 1956 04 6438·3
 1956 03 6636·6
 1956 02 9237·1
 1956 01 3037·0
 1955 12  4139·4
 1955 11  3838·3
 1955 10  8637.5
 1955 09  3137.6
 1955 08  4938.5
 1955 07  2337.3
 1955 06  4635·6
 1955 05  4736·4
 1955 04  4035·4
 1955 03  535.4
 1955 02  8635.7
 1955 01  2135.5
 1954 12 8833·1
 1954 11 8935·6
 1954 10 4435.8
 1954 09 2335.8
 1954 08 9534.9
 1954 07 734.7
 1954 06 8136·3
 1954 05 4636.7
 1954 04 8538.9
 1954 03 1540·5
 1954 02 8638.8
 1954 01 1037.3
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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: 16-19 years, White Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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