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 Series Title: Employment-Population Ratio: 20 years and over, White Men: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 5768.6
 2012 03 9768·8
 2012 02 9168·9
 2012 01 5468·7
 2011 12  2568.6
 2011 11  4568.5
 2011 10  5968·1
 2011 09  3968.2
 2011 08  4068·1
 2011 07  7368·0
 2011 06  968·0
 2011 05  468·4
 2011 04  5368·1
 2011 03  6268.0
 2011 02  5468·1
 2011 01  9467.9
 2010 12 3967·7
 2010 11 1967.3
 2010 10 3267·7
 2010 09 7668.1
 2010 08 068·1
 2010 07 7568·2
 2010 06 668.1
 2010 05 4668·2
 2010 04 5968·2
 2010 03 8867·9
 2010 02 6367·8
 2010 01 2267.7
 2009 12  6867·5
 2009 11  3967.8
 2009 10  1767·9
 2009 09  4968.1
 2009 08  268.4
 2009 07  3568.6
 2009 06  668.7
 2009 05  9668·9
 2009 04  6169.2
 2009 03  669·2
 2009 02  9269.8
 2009 01  5770.4
 2008 12 7170.7
 2008 11 1171.3
 2008 10 6371.8
 2008 09 5072.0
 2008 08 8272.2
 2008 07 3072·6
 2008 06 3372.6
 2008 05 2172·7
 2008 04 6972·8
 2008 03 7073·1
 2008 02 3873.3
 2008 01 3973·6
 2007 12  3373.4
 2007 11  6273·4
 2007 10  4373·1
 2007 09  9673·1
 2007 08  073.1
 2007 07  6573.3
 2007 06  3473·6
 2007 05  1373·8
 2007 04  1973·8
 2007 03  5874.1
 2007 02  2573·8
 2007 01  3473·8
 2006 12 6774.0
 2006 11 4973.8
 2006 10 5473·8
 2006 09 2873.8
 2006 08 4373·6
 2006 07 6973·4
 2006 06 8373.6
 2006 05 8973.6
 2006 04 7273·7
 2006 03 7573.8
 2006 02 173.6
 2006 01 3673·7
 2005 12  673·3
 2005 11  4973.2
 2005 10  2073.3
 2005 09  1373.1
 2005 08  2073·6
 2005 07  9773·5
 2005 06  7873.5
 2005 05  9073·5
 2005 04  1373·4
 2005 03  5173.2
 2005 02  3873·1
 2005 01  6173·0
 2004 12 1273·0
 2004 11 6873·0
 2004 10 8872.9
 2004 09 4472.7
 2004 08 6773·0
 2004 07 2973·2
 2004 06 4172·8
 2004 05 8472.5
 2004 04 5372·6
 2004 03 4072·5
 2004 02 3572·7
 2004 01 5072·9
 2003 12  7072.7
 2003 11  3472·7
 2003 10  3372·6
 2003 09  3672·4
 2003 08  4472·2
 2003 07  6772.3
 2003 06  2272·3
 2003 05  6172·3
 2003 04  2672.6
 2003 03  2172·7
 2003 02  1572·7
 2003 01  7072.4
 2002 12 9172.6
 2002 11 272.7
 2002 10 5172·9
 2002 09 3173.1
 2002 08 3873·2
 2002 07 4273·1
 2002 06 9273.2
 2002 05 4073.4
 2002 04 9573.0
 2002 03 9873.1
 2002 02 2673·4
 2002 01 1373·0
 2001 12  1073.4
 2001 11  5173.3
 2001 10  6673·6
 2001 09  9773·8
 2001 08  5973·8
 2001 07  873·9
 2001 06  5074·0
 2001 05  6174.3
 2001 04  4374·3
 2001 03  174·5
 2001 02  4074·6
 2001 01  9774·8
 2000 12 8774·6
 2000 11 8674·6
 2000 10 2674.6
 2000 09 2674·6
 2000 08 4275·0
 2000 07 4574·6
 2000 06 1974.9
 2000 05 9174.8
 2000 04 8374.9
 2000 03 8475.2
 2000 02 5775.3
 2000 01 6275.2
 1999 12  974·8
 1999 11  3574·8
 1999 10  374.6
 1999 09  3374.8
 1999 08  4874·8
 1999 07  5574·8
 1999 06  4674·7
 1999 05  2374.6
 1999 04  4874·8
 1999 03  2675.1
 1999 02  9874·9
 1999 01  7675·0
 1998 12 8674.8
 1998 11 5374·9
 1998 10 9774.7
 1998 09 6174·7
 1998 08 6274·6
 1998 07 7074.7
 1998 06 674.6
 1998 05 7274·8
 1998 04 174.8
 1998 03 3174.5
 1998 02 1374·7
 1998 01 3074·7
 1997 12  5474.7
 1997 11  2074·9
 1997 10  3074.7
 1997 09  7674.6
 1997 08  9574.7
 1997 07  4274.7
 1997 06  9674·8
 1997 05  8274·8
 1997 04  2674·7
 1997 03  3074.6
 1997 02  7374·4
 1997 01  4174.4
 1996 12 7274.4
 1996 11 3974·3
 1996 10 5074·7
 1996 09 7174·3
 1996 08 8374·4
 1996 07 5274·3
 1996 06 3974.3
 1996 05 1874·0
 1996 04 3473·9
 1996 03 7674·0
 1996 02 7873·9
 1996 01 5173.7
 1995 12  2773·6
 1995 11  4173·5
 1995 10  3073.9
 1995 09  6373.8
 1995 08  8573·6
 1995 07  473.7
 1995 06  8373·7
 1995 05  7373.4
 1995 04  6173·9
 1995 03  4874·1
 1995 02  5074·2
 1995 01  2674·1
 1994 12 2874.3
 1994 11 7874.1
 1994 10 6973·9
 1994 09 9273·9
 1994 08 8873.7
 1994 07 2773·4
 1994 06 273.3
 1994 05 6373.4
 1994 04 6773.3
 1994 03 5073·1
 1994 02 3773.2
 1994 01 6073·4
 1993 12  1373.3
 1993 11  3173·4
 1993 10  8873.4
 1993 09  2573.2
 1993 08  373·4
 1993 07  7573·3
 1993 06  9273.4
 1993 05  3073.3
 1993 04  3773·2
 1993 03  1373.1
 1993 02  1373·1
 1993 01  6773·1
 1992 12 4073.0
 1992 11 472.8
 1992 10 3772.9
 1992 09 5673·0
 1992 08 6473·1
 1992 07 2773.2
 1992 06 7873.1
 1992 05 4173·2
 1992 04 8273.2
 1992 03 9173.1
 1992 02 7472·9
 1992 01 9173·0
 1991 12  9772·9
 1991 11  2573·1
 1991 10  8873·2
 1991 09  073·3
 1991 08  3273·3
 1991 07  8873·4
 1991 06  773·5
 1991 05  8773.6
 1991 04  3973.9
 1991 03  6173.6
 1991 02  4573·8
 1991 01  9774·1
 1990 12 9274·4
 1990 11 5174.5
 1990 10 3974.8
 1990 09 9974·9
 1990 08 9375.1
 1990 07 8875.1
 1990 06 5375.2
 1990 05 8675·3
 1990 04 6675.2
 1990 03 3075·6
 1990 02 7475·8
 1990 01 7875.8
 1989 12  6275·4
 1989 11  5975·3
 1989 10  1475·4
 1989 09  2075.0
 1989 08  5775·4
 1989 07  8075·5
 1989 06  1375.6
 1989 05  7975·4
 1989 04  5075.6
 1989 03  2675.7
 1989 02  3375·5
 1989 01  5175·4
 1988 12 6875·0
 1988 11 5375·1
 1988 10 6175.1
 1988 09 5475.1
 1988 08 6075.1
 1988 07 4475.2
 1988 06 1175·0
 1988 05 3375.1
 1988 04 275.3
 1988 03 475.0
 1988 02 2075·1
 1988 01 5774.8
 1987 12  9574·9
 1987 11  6574·9
 1987 10  5274·8
 1987 09  1974.7
 1987 08  6374·7
 1987 07  8474.6
 1987 06  9474·5
 1987 05  4074.8
 1987 04  5774.5
 1987 03  4274.5
 1987 02  5974.4
 1987 01  6374·5
 1986 12 5274·7
 1986 11 4674.4
 1986 10 8574·2
 1986 09 5774.2
 1986 08 5074·3
 1986 07 2974.1
 1986 06 3574·2
 1986 05 1774·0
 1986 04 7574·2
 1986 03 4574.2
 1986 02 9774.2
 1986 01 6174·7
 1985 12  7774·4
 1985 11  7874·5
 1985 10  8474·6
 1985 09  3474.5
 1985 08  3374·2
 1985 07  3474·0
 1985 06  3474.0
 1985 05  474.4
 1985 04  4274.2
 1985 03  4374.3
 1985 02  974·2
 1985 01  6774·2
 1984 12 3074·4
 1984 11 6474·4
 1984 10 9774.4
 1984 09 4174·5
 1984 08 4774.3
 1984 07 7774.5
 1984 06 1274·7
 1984 05 7174·2
 1984 04 6974·1
 1984 03 9073·9
 1984 02 9073·9
 1984 01 2473.8
 1983 12  9573·7
 1983 11  3373.5
 1983 10  9673·2
 1983 09  9773.0
 1983 08  5273.0
 1983 07  6473.0
 1983 06  1772·7
 1983 05  772·0
 1983 04  9071·9
 1983 03  6471·7
 1983 02  6671.6
 1983 01  9971·8
 1982 12 8472·0
 1982 11 4072.1
 1982 10 8072·4
 1982 09 4172·7
 1982 08 3572·8
 1982 07 2472.9
 1982 06 2473·1
 1982 05 3073.6
 1982 04 6873·4
 1982 03 7173.6
 1982 02 8373·9
 1982 01 8273.8
 1981 12  3374·0
 1981 11  6574.3
 1981 10  7274.5
 1981 09  4374.8
 1981 08  575·1
 1981 07  1075.4
 1981 06  2975·2
 1981 05  8175.6
 1981 04  8675·7
 1981 03  4075·5
 1981 02  1575.4
 1981 01  9175.3
 1980 12 175.4
 1980 11 1075·3
 1980 10 2075·2
 1980 09 9275.0
 1980 08 9975.0
 1980 07 375.0
 1980 06 5675·2
 1980 05 2875·6
 1980 04 5675·9
 1980 03 2476·4
 1980 02 6177·1
 1980 01 6876·8
 1979 12  7476·9
 1979 11  676·8
 1979 10  9776·9
 1979 09  677·0
 1979 08  7677·0
 1979 07  677·2
 1979 06  5377.3
 1979 05  6277·3
 1979 04  1477.4
 1979 03  477.5
 1979 02  4278·0
 1979 01  7977.7
 1978 12 6377·4
 1978 11 777·5
 1978 10 177·0
 1978 09 2776·9
 1978 08 2377.2
 1978 07 4877.2
 1978 06 9377·4
 1978 05 077.2
 1978 04 1977·3
 1978 03 8376.9
 1978 02 677·1
 1978 01 1777.0
 1977 12  377·1
 1977 11  9377.0
 1977 10  5476·9
 1977 09  2276·7
 1977 08  4976.6
 1977 07  8576.5
 1977 06  7476·6
 1977 05  8476.2
 1977 04  5876·2
 1977 03  9176.1
 1977 02  2875·9
 1977 01  9875·8
 1976 12 5575·9
 1976 11 6775·9
 1976 10 676.0
 1976 09 8276·0
 1976 08 9176.1
 1976 07 9576·0
 1976 06 1975.9
 1976 05 8076.1
 1976 04 4176.1
 1976 03 8276.0
 1976 02 575.9
 1976 01 6375·7
 1975 12  575·4
 1975 11  5975.3
 1975 10  2875·4
 1975 09  2475.4
 1975 08  975.8
 1975 07  8375·7
 1975 06  7675.6
 1975 05  8175.7
 1975 04  375·7
 1975 03  3575·9
 1975 02  6176.2
 1975 01  8076.3
 1974 12 6377.2
 1974 11 2377.8
 1974 10 2078.2
 1974 09 8978.3
 1974 08 8878.4
 1974 07 7778.4
 1974 06 1878.7
 1974 05 378·9
 1974 04 578.7
 1974 03 5579.1
 1974 02 4279·3
 1974 01 4179.3
 1973 12  6479·2
 1973 11  3879.2
 1973 10  479.2
 1973 09  4679.0
 1973 08  4079.1
 1973 07  3379.3
 1973 06  4379.2
 1973 05  8879·1
 1973 04  3379.2
 1973 03  7179·4
 1973 02  2279·1
 1973 01  6179·0
 1972 12 6979·2
 1972 11 979.0
 1972 10 2978·9
 1972 09 8579.1
 1972 08 9979·1
 1972 07 2979·1
 1972 06 7579·0
 1972 05 378.9
 1972 04 9778·9
 1972 03 3778.9
 1972 02 078·8
 1972 01 8478.9
 1971 12  6478.9
 1971 11  6678·8
 1971 10  6678·9
 1971 09  2378·9
 1971 08  2679.0
 1971 07  7079.0
 1971 06  6179.0
 1971 05  3979·2
 1971 04  3379.1
 1971 03  3378·7
 1971 02  9878·9
 1971 01  7679·1
 1970 12 5979·1
 1970 11 6179.4
 1970 10 1579.5
 1970 09 379·6
 1970 08 779·7
 1970 07 8579·8
 1970 06 7480·2
 1970 05 1480·5
 1970 04 080.7
 1970 03 6380.8
 1970 02 6480·8
 1970 01 2880·9
 1969 12  9081.0
 1969 11  7581.1
 1969 10  9881.1
 1969 09  9081·3
 1969 08  5281.5
 1969 07  2981.2
 1969 06  1381·4
 1969 05  6981.4
 1969 04  8681·5
 1969 03  5681.7
 1969 02  7281.8
 1969 01  5881·5
 1968 12 1781·8
 1968 11 1281.5
 1968 10 6381·5
 1968 09 7781.6
 1968 08 9781.7
 1968 07 8081·8
 1968 06 081.7
 1968 05 7081.7
 1968 04 081.5
 1968 03 6681.4
 1968 02 1981.4
 1968 01 781.4
 1967 12  2681·6
 1967 11  281·7
 1967 10  8481.7
 1967 09  8181·7
 1967 08  281.7
 1967 07  4481·8
 1967 06  8381.7
 1967 05  1181.7
 1967 04  7781.7
 1967 03  7381·6
 1967 02  2981·8
 1967 01  4281.9
 1966 12 2881·7
 1966 11 9881·7
 1966 10 5981·8
 1966 09 4281.6
 1966 08 5381.6
 1966 07 4881.5
 1966 06 3681.9
 1966 05 781.9
 1966 04 8081.9
 1966 03 8181.8
 1966 02 4981.6
 1966 01 5581·5
 1965 12  5781·5
 1965 11  7981·4
 1965 10  1081.4
 1965 09  2981.4
 1965 08  6181.5
 1965 07  4881.7
 1965 06  5781·5
 1965 05  081.7
 1965 04  9281·5
 1965 03  2081.6
 1965 02  5381·5
 1965 01  6281.5
 1964 12 7581·4
 1964 11 5181·5
 1964 10 8681·2
 1964 09 3381.3
 1964 08 6081·4
 1964 07 2381·5
 1964 06 6881·1
 1964 05 5881·6
 1964 04 2481.5
 1964 03 4381.0
 1964 02 3881·1
 1964 01 681.1
 1963 12  6680.9
 1963 11  4281·1
 1963 10  5981·1
 1963 09  7081.4
 1963 08  1281·1
 1963 07  7781·4
 1963 06  1881·2
 1963 05  7180.9
 1963 04  1381.0
 1963 03  3081·0
 1963 02  2880·9
 1963 01  5380.9
 1962 12 4281·1
 1962 11 781·1
 1962 10 2881.4
 1962 09 8381·4
 1962 08 281·4
 1962 07 4081·1
 1962 06 7981.5
 1962 05 5881.6
 1962 04 1881·5
 1962 03 8681·9
 1962 02 7182.0
 1962 01 9581.8
 1961 12  3981.7
 1961 11  2581·6
 1961 10  1681.5
 1961 09  3881·3
 1961 08  4181.2
 1961 07  6681.1
 1961 06  5181.4
 1961 05  5880.9
 1961 04  2581.3
 1961 03  3881.5
 1961 02  4081.3
 1961 01  4881.6
 1960 12 1681·7
 1960 11 082·1
 1960 10 7081.9
 1960 09 2882·2
 1960 08 6482.0
 1960 07 3382·2
 1960 06 5582·4
 1960 05 4082.7
 1960 04 4582·8
 1960 03 4382·4
 1960 02 3283.1
 1960 01 5683·0
 1959 12  5983·2
 1959 11  6282.2
 1959 10  6482.8
 1959 09  6882.8
 1959 08  3283·1
 1959 07  4783·3
 1959 06  4083·0
 1959 05  9683.0
 1959 04  1383.2
 1959 03  7982·6
 1959 02  7182.1
 1959 01  8382·1
 1958 12 7982·0
 1958 11 6582·1
 1958 10 9682·2
 1958 09 081.9
 1958 08 2981.6
 1958 07 3781.4
 1958 06 7981·4
 1958 05 4181·6
 1958 04 9081·4
 1958 03 5081.5
 1958 02 582.0
 1958 01 2382·5
 1957 12  1183·0
 1957 11  8883.1
 1957 10  9083.6
 1957 09  9383·9
 1957 08  6884.0
 1957 07  5684.4
 1957 06  6984.6
 1957 05  1884.4
 1957 04  6184.5
 1957 03  8684.9
 1957 02  784·6
 1957 01  9284.5
 1956 12 1684·6
 1956 11 3584.7
 1956 10 9284·7
 1956 09 3684·8
 1956 08 8384·9
 1956 07 8584.8
 1956 06 3584·9
 1956 05 9385.0
 1956 04 3785.3
 1956 03 4185·2
 1956 02 7585·3
 1956 01 3285.5
 1955 12  7985·1
 1955 11  3785·0
 1955 10  7685·0
 1955 09  4884.9
 1955 08  3584.9
 1955 07  2784·8
 1955 06  2484.4
 1955 05  5984.6
 1955 04  5484·3
 1955 03  9584.4
 1955 02  3284.4
 1955 01  984·2
 1954 12 1283·9
 1954 11 4683.9
 1954 10 4083.7
 1954 09 6983·6
 1954 08 983·6
 1954 07 1283.6
 1954 06 983·8
 1954 05 3183·8
 1954 04 7184.1
 1954 03 5184.3
 1954 02 2784.9
 1954 01 1684·8
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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: 20 years and over, White Men: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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