Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
2012 04 3374.3
2012 03 5574·5
2012 02 174·5
2012 01 1274.5
2011 12 5174.5
2011 11 8574·3
2011 10 8274·5
2011 09 4174.7
2011 08 4174.7
2011 07 1974·6
2011 06 7074·6
2011 05 7674·7
2011 04 5574·8
2011 03 4074.9
2011 02 7874.7
2011 01 5974.9
2010 12 6775.1
2010 11 5375.2
2010 10 4474·9
2010 09 6175·0
2010 08 7774.9
2010 07 9174.8
2010 06 3075.1
2010 05 7575·2
2010 04 1275·6
2010 03 1175.6
2010 02 2675.5
2010 01 2075·7
2009 12 2175·1
2009 11 9475.4
2009 10 4375·4
2009 09 4175·3
2009 08 8075·6
2009 07 4675.8
2009 06 1975·9
2009 05 775·8
2009 04 9075·9
2009 03 9975.8
2009 02 1876·0
2009 01 1275.8
2008 12 7575·8
2008 11 1075.8
2008 10 2775·8
2008 09 7575·8
2008 08 8776.0
2008 07 6075·7
2008 06 6076·0
2008 05 4075·9
2008 04 9975.8
2008 03 5775.8
2008 02 5375.6
2008 01 7675.7
2007 12 1475·5
2007 11 3275.5
2007 10 7175.3
2007 09 7875·4
2007 08 5675·5
2007 07 4075·4
2007 06 075·3
2007 05 6475.3
2007 04 7675.0
2007 03 6575·3
2007 02 5475.3
2007 01 7975·6
2006 12 4975·5
2006 11 1375·5
2006 10 7075·6
2006 09 9275.5
2006 08 7575·6
2006 07 1575·7
2006 06 1375.4
2006 05 9775·3
2006 04 8075·3
2006 03 2875·4
2006 02 6875.5
2006 01 1475·3
2005 12 1475.4
2005 11 3375.3
2005 10 5075·2
2005 09 8575·4
2005 08 5375·2
2005 07 3875.3
2005 06 9675·0
2005 05 8175.3
2005 04 9775·2
2005 03 7475.0
2005 02 6975.3
2005 01 9675·3
2004 12 7175·1
2004 11 9775.2
2004 10 5775.1
2004 09 4875.2
2004 08 2675·1
2004 07 8975.4
2004 06 7375·5
2004 05 8275.3
2004 04 3875·4
2004 03 5775.5
2004 02 5575.2
2004 01 6775.2
2003 12 575·1
2003 11 3375.2
2003 10 6575·3
2003 09 9775.3
2003 08 5575·6
2003 07 7375·6
2003 06 9276·1
2003 05 9275·9
2003 04 3776.0
2003 03 5876.1
2003 02 4875.8
2003 01 9575·8
2002 12 2775.8
2002 11 9675·4
2002 10 7275·7
2002 09 7575.8
2002 08 2575.7
2002 07 1875·5
2002 06 2675.7
2002 05 2876·1
2002 04 5776·2
2002 03 8076·1
2002 02 9876.4
2002 01 7176·1
2001 12 7276.3
2001 11 6576·2
2001 10 176.1
2001 09 4976·2
2001 08 4776.2
2001 07 7976.2
2001 06 7276.2
2001 05 3176·4
2001 04 8276·3
2001 03 5376·9
2001 02 7676.8
2001 01 1276.9
2000 12 176.5
2000 11 4476.5
2000 10 9976.3
2000 09 976.4
2000 08 5676·3
2000 07 3576.6
2000 06 5576·8
2000 05 6977·0
2000 04 2277·3
2000 03 3177·1
2000 02 8176·9
2000 01 5977·0
1999 12 076.7
1999 11 6477·1
1999 10 4177·0
1999 09 7476.9
1999 08 1376·7
1999 07 9076.6
1999 06 2176·9
1999 05 3376·7
1999 04 1476.6
1999 03 9376·5
1999 02 3676·8
1999 01 8077·0
1998 12 7876·8
1998 11 7776·6
1998 10 2376.7
1998 09 8576.8
1998 08 476·6
1998 07 7576.5
1998 06 4576.4
1998 05 4076·3
1998 04 1876.3
1998 03 4376.7
1998 02 9076·5
1998 01 6776.4
1997 12 7176·6
1997 11 6476.5
1997 10 7076·8
1997 09 877·0
1997 08 3877.2
1997 07 4277.0
1997 06 2476.7
1997 05 3276·4
1997 04 1976·5
1997 03 1276·6
1997 02 1476·3
1997 01 3576·5
1996 12 4076.6
1996 11 2876·5
1996 10 2876.4
1996 09 3576.2
1996 08 5276.3
1996 07 7276·3
1996 06 8076.0
1996 05 7676.0
1996 04 2975·9
1996 03 5275·8
1996 02 775.7
1996 01 2775.8
1995 12 7175.7
1995 11 9976.0
1995 10 7275·8
1995 09 8375.7
1995 08 675·6
1995 07 6975.7
1995 06 6375.2
1995 05 6375·5
1995 04 8175·9
1995 03 4475·5
1995 02 9375.5
1995 01 1175·3
1994 12 7475.2
1994 11 3175.6
1994 10 9975·5
1994 09 9576·0
1994 08 8575·4
1994 07 6175·1
1994 06 4574.7
1994 05 1075.2
1994 04 3875·1
1994 03 9275·2
1994 02 1975.3
1994 01 7675.0
1993 12 8575.2
1993 11 474·9
1993 10 3274·8
1993 09 3674·7
1993 08 074.8
1993 07 474·6
1993 06 2474·6
1993 05 6074·5
1993 04 8574·1
1993 03 2574·4
1993 02 5874·2
1993 01 4174.3
1992 12 6474·6
1992 11 2274.6
1992 10 2074·4
1992 09 9974.5
1992 08 8874.8
1992 07 7774.8
1992 06 2474.9
1992 05 7874.8
1992 04 3274·7
1992 03 9774.5
1992 02 874·4
1992 01 4774·4
1991 12 9674.1
1991 11 1374.1
1991 10 3574·2
1991 09 074·1
1991 08 774.1
1991 07 8373·9
1991 06 9274.2
1991 05 5774·1
1991 04 1474·3
1991 03 8874.0
1991 02 9373.9
1991 01 6173.7
1990 12 9373.9
1990 11 3373·9
1990 10 7573·9
1990 09 8274·0
1990 08 4474.0
1990 07 5274·0
1990 06 173.9
1990 05 1374.1
1990 04 9373.9
1990 03 174.0
1990 02 6074·0
1990 01 7574·1
1989 12 8974.1
1989 11 6174·1
1989 10 6373.8
1989 09 1074.0
1989 08 973·5
1989 07 3973·4
1989 06 5073·3
1989 05 8973.4
1989 04 5373.5
1989 03 6773·4
1989 02 8273.5
1989 01 573·6
1988 12 4673·4
1988 11 173.4
1988 10 4873.0
1988 09 7772·8
1988 08 3972·8
1988 07 2372·6
1988 06 6172·4
1988 05 5072·4
1988 04 672·3
1988 03 4072·5
1988 02 5872.2
1988 01 9372.2
1987 12 4972·3
1987 11 8272·2
1987 10 372.2
1987 09 072·1
1987 08 9272·0
1987 07 872·0
1987 06 8371·8
1987 05 8972·0
1987 04 8771.7
1987 03 9871·6
1987 02 1171·4
1987 01 671.0
1986 12 871·2
1986 11 5971·2
1986 10 2571·5
1986 09 2071.2
1986 08 5671.0
1986 07 2370.9
1986 06 8870·9
1986 05 2370.5
1986 04 5670·5
1986 03 4670·4
1986 02 8870.0
1986 01 3770·1
1985 12 5970·2
1985 11 1170.0
1985 10 3869.8
1985 09 470.1
1985 08 4069.5
1985 07 2369.4
1985 06 7569·5
1985 05 9469.3
1985 04 9969·6
1985 03 1469.6
1985 02 6369·2
1985 01 169.2
1984 12 6268.7
1984 11 4168·3
1984 10 8968·5
1984 09 4468.2
1984 08 8068.7
1984 07 8668·6
1984 06 6768·3
1984 05 6768.6
1984 04 2768·1
1984 03 5567.8
1984 02 3367.5
1984 01 4067.2
1983 12 467·6
1983 11 8167.4
1983 10 5267.4
1983 09 5767·7
1983 08 3767.5
1983 07 1867·1
1983 06 1167.2
1983 05 3666·8
1983 04 7566.8
1983 03 5066.6
1983 02 2366·6
1983 01 2266.9
1982 12 9467.0
1982 11 8366.6
1982 10 2566·6
1982 09 8466.5
1982 08 9566·6
1982 07 4866.7
1982 06 8166·3
1982 05 1666.3
1982 04 366·0
1982 03 266.0
1982 02 7966.0
1982 01 3865·7
1981 12 6965.7
1981 11 2765·9
1981 10 3165·6
1981 09 9364·9
1981 08 6765·2
1981 07 2965.3
1981 06 7565.2
1981 05 5065.5
1981 04 9865.3
1981 03 4065.1
1981 02 7564.9
1981 01 464·7
1980 12 8864.4
1980 11 1764·2
1980 10 1764.1
1980 09 7463·9
1980 08 8764.0
1980 07 4163.7
1980 06 1663·8
1980 05 463·8
1980 04 7064·1
1980 03 2063.9
1980 02 863.8
1980 01 6463.8
1979 12 3763.6
1979 11 8363.0
1979 10 5863.1
1979 09 4662·9
1979 08 1562.8
1979 07 8962·4
1979 06 5261.8
1979 05 7161.6
1979 04 5361.6
1979 03 1961.7
1979 02 361·6
1979 01 8261.4
1978 12 2861.6
1978 11 7961·4
1978 10 5061.6
1978 09 4961·1
1978 08 3860·5
1978 07 260·7
1978 06 5560·5
1978 05 6660·3
1978 04 1060.2
1978 03 4360.0
1978 02 759·7
1978 01 5259·5
1977 12 9459.3
1977 11 8559.3
1977 10 1758.8
1977 09 5158.9
1977 08 6658·6
1977 07 3358.6
1977 06 2558.5
1977 05 3358.4
1977 04 2558·2
1977 03 2158·1
1977 02 9257.7
1977 01 9057.5
1976 12 9857.6
1976 11 457.3
1976 10 757·1
1976 09 4457·1
1976 08 3457·2
1976 07 6357·0
1976 06 8356.8
1976 05 3656.4
1976 04 956·4
1976 03 756.2
1976 02 5856.1
1976 01 3856·0
1975 12 2355.5
1975 11 6555·4
1975 10 9455·7
1975 09 4355.3
1975 08 355.3
1975 07 9655·0
1975 06 7955.1
1975 05 7054·8
1975 04 9754.9
1975 03 8054·7
1975 02 2754·4
1975 01 6354·8
1974 12 8254.4
1974 11 2454.3
1974 10 7454.2
1974 09 9154.2
1974 08 5854.1
1974 07 6054·5
1974 06 8553.9
1974 05 4953.6
1974 04 5153.5
1974 03 4553.3
1974 02 4753.4
1974 01 5653·1
1973 12 1053·2
1973 11 6053.2
1973 10 7252.8
1973 09 5552.6
1973 08 1152.4
1973 07 1152.4
1973 06 9952·5
1973 05 1752.1
1973 04 5552.1
1973 03 3151.7
1973 02 9151·7
1973 01 3451·2
1972 12 6651·3
1972 11 7650.9
1972 10 3551.1
1972 09 2751·1
1972 08 9651·1
1972 07 2751.0
1972 06 4451·0
1972 05 3951·0
1972 04 2051·0
1972 03 9251·3
1972 02 5750.9
1972 01 3951.0
1971 12 3750·8
1971 11 250·7
1971 10 3650.5
1971 09 2250.4
1971 08 7450.3
1971 07 1349·9
1971 06 6950.1
1971 05 750·2
1971 04 8150.0
1971 03 850.2
1971 02 6950.4
1971 01 3850.5
1970 12 3450·4
1970 11 9250·3
1970 10 7350.1
1970 09 8449.6
1970 08 3150.2
1970 07 9850·4
1970 06 4650·0
1970 05 3949·7
1970 04 050·3
1970 03 8350·1
1970 02 7449·8
1970 01 2349·9
1969 12 9149.8
1969 11 2649·5
1969 10 7049.6
1969 09 7949·6
1969 08 7849.3
1969 07 3749·0
1969 06 7349·1
1969 05 7748.8
1969 04 6248·6
1969 03 4548.5
1969 02 4548·7
1969 01 1048·3
1968 12 6948.2
1968 11 948·2
1968 10 7547·9
1968 09 9848·0
1968 08 4947·7
1968 07 848.0
1968 06 7448.3
1968 05 8648·3
1968 04 7747·7
1968 03 5147·8
1968 02 8147·7
1968 01 4147·1
1967 12 5448.1
1967 11 6847·9
1967 10 5948.1
1967 09 5947.8
1967 08 547.6
1967 07 1647.3
1967 06 9647.2
1967 05 5946.8
1967 04 8146·8
1967 03 7846.6
1967 02 446.7
1967 01 8446.6
1966 12 5746·9
1966 11 5947.1
1966 10 2246.8
1966 09 446.8
1966 08 3246·3
1966 07 9146.1
1966 06 1346.0
1966 05 1245.9
1966 04 3445.5
1966 03 3145·5
1966 02 6345·4
1966 01 2945.5
1965 12 1245.5
1965 11 6045.3
1965 10 8745·3
1965 09 9845.1
1965 08 4145.6
1965 07 8645.5
1965 06 2245·7
1965 05 8844.9
1965 04 2244·8
1965 03 3944·9
1965 02 3144·9
1965 01 9444·9
1964 12 8144·7
1964 11 7744.3
1964 10 144.3
1964 09 3444.2
1964 08 6744·7
1964 07 8144.4
1964 06 4744.9
1964 05 5345·0
1964 04 5644.9
1964 03 5744·4
1964 02 544.4
1964 01 2044·3
1963 12 4944·3
1963 11 3844·7
1963 10 3844·4
1963 09 2944.1
1963 08 7044·0
1963 07 8044·0
1963 06 3544·1
1963 05 9944.4
1963 04 7144.4
1963 03 6444.1
1963 02 943·9
1963 01 7443.7
1962 12 2643.3
1962 11 9843·3
1962 10 9643.3
1962 09 2444·0
1962 08 3643.8
1962 07 1243·1
1962 06 6043.2
1962 05 4343·2
1962 04 2743.2
1962 03 6543·4
1962 02 9043.6
1962 01 4943·5
1961 12 4942.9
1961 11 3643·0
1961 10 9743·4
1961 09 8742.8
1961 08 7643·1
1961 07 3343.4
1961 06 2044.2
1961 05 2643·7
1961 04 1043.3
1961 03 8743.8
1961 02 2243.3
1961 01 6043.2
1960 12 7743.1
1960 11 5643·4
1960 10 9042·8
1960 09 843·6
1960 08 2543.4
1960 07 2043·5
1960 06 3843·3
1960 05 1542.9
1960 04 3242·9
1960 03 8741.9
1960 02 342·4
1960 01 5042.1
1959 12 9642·5
1959 11 8842·3
1959 10 4842·5
1959 09 641·9
1959 08 4442·1
1959 07 7942·4
1959 06 6242·6
1959 05 342·4
1959 04 2642·4
1959 03 4342·4
1959 02 5642·2
1959 01 8542.4
1958 12 1742·1
1958 11 8541·8
1958 10 6942·0
1958 09 2142·0
1958 08 1842.5
1958 07 3942·1
1958 06 6442.0
1958 05 542.1
1958 04 5442.2
1958 03 5941.9
1958 02 2941.9
1958 01 5741·8
1957 12 7542.1
1957 11 2842.0
1957 10 7642·0
1957 09 2141·7
1957 08 5841.3
1957 07 5341·9
1957 06 4441.5
1957 05 6541·2
1957 04 141·1
1957 03 6541·2
1957 02 9541·2
1957 01 8440.7
1956 12 3241·1
1956 11 2141·2
1956 10 1741.2
1956 09 9641.4
1956 08 9941·2
1956 07 241.3
1956 06 2341·2
1956 05 4741·2
1956 04 7940·4
1956 03 1540·3
1956 02 5140.3
1956 01 640.9
1955 12 7140.7
1955 11 9240.3
1955 10 6440.5
1955 09 6540·4
1955 08 240.7
1955 07 8940.3
1955 06 5039·6
1955 05 4639.1
1955 04 2139·5
1955 03 8838.6
1955 02 2238.8
1955 01 9038.9
1954 12 538.4
1954 11 9638·7
1954 10 1738.4
1954 09 6938.7
1954 08 5238·2
1954 07 4438·2
1954 06 9938·5
1954 05 7638.8
1954 04 9039·1
1954 03 8939·4
1954 02 5539.5
1954 01 3038.4
1953 12 6838.5
1953 11 1338·9
1953 10 9838·5
1953 09 7537·9
1953 08 6137.4
1953 07 2138.0
1953 06 6638.0
1953 05 8037.4
1953 04 7038·5
1953 03 4739·1
1953 02 2338.6
1953 01 4038·9
1952 12 2138·6
1952 11 4638·7
1952 10 5538.0
1952 09 7339.0
1952 08 6338.0
1952 07 038.0
1952 06 7638.4
1952 05 2538.5
1952 04 7238·2
1952 03 1638·4
1952 02 2438.9
1952 01 6338·7
1951 12 4939·0
1951 11 2538·5
1951 10 6138·8
1951 09 8238.3
1951 08 1938·4
1951 07 8538.7
1951 06 7637·1
1951 05 238·2
1951 04 3237·5
1951 03 7637·6
1951 02 8137·2
1951 01 6637·5
1950 12 6437.1
1950 11 537.4
1950 10 1537.1
1950 09 4436·6
1950 08 1537·6
1950 07 437·0
1950 06 4037·6
1950 05 2936.5
1950 04 1036·6
1950 03 3036.1
1950 02 4335·9
1950 01 4135.9
1949 12 035·9
1949 11 6436.1
1949 10 3935.7
1949 09 2335.7
1949 08 6136·2
1949 07 1336·2
1949 06 6435·7
1949 05 4636.0
1949 04 9235·4
1949 03 835·2
1949 02 8235.3
1949 01 435.2
1948 12 1935·6
1948 11 735.2
1948 10 8135.3
1948 09 1436.1
1948 08 9235·4
1948 07 9035.7
1948 06 7335·4
1948 05 2234.0
1948 04 8834.8
1948 03 6533.9
1948 02 9734.2
1948 01 9733.5
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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.
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Example 1: Get Unemployment Rates for people in Computer jobs |
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Example 2: Get Employment Data for Workers in the "Retail Trade" Industry |
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Example 3: Get Population Level Data for Workers |
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