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 Series Title: Civilian labor force participation rate, 55-64 yrs. Male: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2002 12 3469.5
 2002 11 2169.2
 2002 10 6870·1
 2002 09 5470·0
 2002 08 8069·4
 2002 07 4969.7
 2002 06 7069·6
 2002 05 7669·3
 2002 04 8568·5
 2002 03 7067.8
 2002 02 6668·6
 2002 01 9168.5
 2001 12  069·0
 2001 11  6568.6
 2001 10  7068.2
 2001 09  4268·4
 2001 08  268·2
 2001 07  4068.0
 2001 06  1968.0
 2001 05  9968·2
 2001 04  9068.3
 2001 03  2767.7
 2001 02  7767.6
 2001 01  5667·7
 2000 12 8967·0
 2000 11 8366·9
 2000 10 3067·1
 2000 09 3167·3
 2000 08 5067·7
 2000 07 9067·2
 2000 06 9367.0
 2000 05 7067.0
 2000 04 4967.1
 2000 03 5467.4
 2000 02 368.0
 2000 01 4167·6
 1999 12  8667.5
 1999 11  667·5
 1999 10  2367·4
 1999 09  3967.9
 1999 08  8668·2
 1999 07  368·3
 1999 06  4168.2
 1999 05  8267.5
 1999 04  9968.1
 1999 03  2868·4
 1999 02  6968.0
 1999 01  1568·0
 1998 12 268·2
 1998 11 8668·1
 1998 10 4668.7
 1998 09 668·5
 1998 08 9467.9
 1998 07 1068.4
 1998 06 3468.4
 1998 05 5168·6
 1998 04 067·5
 1998 03 5567.4
 1998 02 2267·7
 1998 01 6867·8
 1997 12  7267.9
 1997 11  468·3
 1997 10  2267·7
 1997 09  067·4
 1997 08  8567·8
 1997 07  6367.3
 1997 06  7267.4
 1997 05  1967.9
 1997 04  3867·9
 1997 03  6467·8
 1997 02  3567.0
 1997 01  1766.9
 1996 12 5866.8
 1996 11 6466.8
 1996 10 9966·8
 1996 09 1367.0
 1996 08 9467.3
 1996 07 4367.5
 1996 06 7667.9
 1996 05 5267·4
 1996 04 2366·8
 1996 03 966·7
 1996 02 666·4
 1996 01 366·2
 1995 12  4466.2
 1995 11  9466·5
 1995 10  5066·7
 1995 09  6166·5
 1995 08  8365·6
 1995 07  5466·2
 1995 06  9665·0
 1995 05  4365.4
 1995 04  9065.8
 1995 03  7065.7
 1995 02  5865·8
 1995 01  9566·5
 1994 12 4167·1
 1994 11 5066·6
 1994 10 7366.2
 1994 09 8565.8
 1994 08 3665·5
 1994 07 2464·7
 1994 06 464·4
 1994 05 964.6
 1994 04 064.2
 1994 03 5164.6
 1994 02 4065·4
 1994 01 8366.4
 1993 12  8565.4
 1993 11  1065·2
 1993 10  9265.9
 1993 09  5466·0
 1993 08  6466·4
 1993 07  965.8
 1993 06  9967.2
 1993 05  9067.5
 1993 04  3967.3
 1993 03  8067.4
 1993 02  2467.8
 1993 01  8566·3
 1992 12 3566.2
 1992 11 7965.9
 1992 10 5465.8
 1992 09 5866·4
 1992 08 366.9
 1992 07 8867·6
 1992 06 367.8
 1992 05 5468·2
 1992 04 1867·7
 1992 03 1367·4
 1992 02 867·3
 1992 01 4267.2
 1991 12  7966·5
 1991 11  8766.8
 1991 10  3266.6
 1991 09  1566·8
 1991 08  1366.8
 1991 07  6566.7
 1991 06  6467.0
 1991 05  9366.9
 1991 04  7167.1
 1991 03  2967·4
 1991 02  1667.6
 1991 01  2067.9
 1990 12 2668·5
 1990 11 8668.5
 1990 10 2568·4
 1990 09 6668·3
 1990 08 8168.0
 1990 07 6867.6
 1990 06 5667.5
 1990 05 2467·5
 1990 04 5967·1
 1990 03 3267.3
 1990 02 9567·3
 1990 01 1367.6
 1989 12  1267·4
 1989 11  5867·4
 1989 10  5666.9
 1989 09  7867.2
 1989 08  1566.8
 1989 07  5467·5
 1989 06  7667.8
 1989 05  8767·1
 1989 04  6867·4
 1989 03  5167.3
 1989 02  1967·0
 1989 01  3667.0
 1988 12 9766·8
 1988 11 566.2
 1988 10 7166·5
 1988 09 4266·6
 1988 08 5367.4
 1988 07 066·7
 1988 06 4866·6
 1988 05 5167.2
 1988 04 967.5
 1988 03 4067.3
 1988 02 8567·7
 1988 01 3167·6
 1987 12  6867·5
 1987 11  5867·7
 1987 10  4667.6
 1987 09  7767.2
 1987 08  5366·7
 1987 07  1167.5
 1987 06  1967·6
 1987 05  768.3
 1987 04  1767·8
 1987 03  8068·0
 1987 02  1767.4
 1987 01  6667·8
 1986 12 3367.9
 1986 11 7167·6
 1986 10 7767.6
 1986 09 2267·4
 1986 08 367·2
 1986 07 1767·3
 1986 06 6367·5
 1986 05 7167.5
 1986 04 5267·1
 1986 03 7366.9
 1986 02 6266.2
 1986 01 3167·1
 1985 12  3067.0
 1985 11  2367.6
 1985 10  8868·0
 1985 09  4667.9
 1985 08  1368.2
 1985 07  7168.3
 1985 06  7868.5
 1985 05  8667.6
 1985 04  068.2
 1985 03  5168.3
 1985 02  9467.8
 1985 01  4468.0
 1984 12 1868.8
 1984 11 1768·2
 1984 10 2668·1
 1984 09 4068·8
 1984 08 1768·8
 1984 07 5468·5
 1984 06 8668.3
 1984 05 1868·2
 1984 04 7268·6
 1984 03 6568·4
 1984 02 1168.7
 1984 01 4768·9
 1983 12  8469.5
 1983 11  8569.6
 1983 10  6569·4
 1983 09  2169.2
 1983 08  7769.0
 1983 07  6869·3
 1983 06  3669.4
 1983 05  5969.3
 1983 04  369·5
 1983 03  9769.0
 1983 02  3669·4
 1983 01  669.5
 1982 12 3769·8
 1982 11 7970.1
 1982 10 470.5
 1982 09 3071·2
 1982 08 7970·2
 1982 07 4570.2
 1982 06 170·4
 1982 05 2670.3
 1982 04 5470.5
 1982 03 5170·2
 1982 02 1769.6
 1982 01 1370.0
 1981 12  1369·7
 1981 11  7969·5
 1981 10  6369.5
 1981 09  3570·1
 1981 08  3270.2
 1981 07  3770.8
 1981 06  7970·7
 1981 05  6171·3
 1981 04  1071·2
 1981 03  5571.6
 1981 02  2671·6
 1981 01  8571·4
 1980 12 7371·5
 1980 11 9071·4
 1980 10 9371·7
 1980 09 2771.9
 1980 08 7272·3
 1980 07 2472·4
 1980 06 9372.4
 1980 05 3072·3
 1980 04 8272.4
 1980 03 6472·3
 1980 02 6372.7
 1980 01 6472·5
 1979 12  372·2
 1979 11  4172·4
 1979 10  6672.8
 1979 09  2373·0
 1979 08  6172·9
 1979 07  1172·7
 1979 06  9172.3
 1979 05  2672·5
 1979 04  572·3
 1979 03  5773.0
 1979 02  4973·5
 1979 01  1674·2
 1978 12 1273·6
 1978 11 8573.7
 1978 10 8073.1
 1978 09 6573.0
 1978 08 8272.8
 1978 07 2773.4
 1978 06 4573.5
 1978 05 6473·2
 1978 04 4073.3
 1978 03 3973.2
 1978 02 3473.3
 1978 01 3473·1
 1977 12  3774.0
 1977 11  373·9
 1977 10  5874.1
 1977 09  1973.4
 1977 08  4873.2
 1977 07  2673·5
 1977 06  5573·9
 1977 05  8773.9
 1977 04  7374·1
 1977 03  3874.1
 1977 02  8973·7
 1977 01  3473.9
 1976 12 3873·8
 1976 11 9874.0
 1976 10 4774.5
 1976 09 7775·0
 1976 08 9375·0
 1976 07 8774·3
 1976 06 4374·6
 1976 05 6274.1
 1976 04 1374.2
 1976 03 1074·0
 1976 02 1473·8
 1976 01 5774.7
 1975 12  074.7
 1975 11  174.8
 1975 10  2275.1
 1975 09  5775·4
 1975 08  7875·7
 1975 07  1575·9
 1975 06  5775.4
 1975 05  8176·0
 1975 04  9775.9
 1975 03  3475.8
 1975 02  3176·5
 1975 01  7276.6
 1974 12 3476·5
 1974 11 6476·3
 1974 10 8176·6
 1974 09 076·7
 1974 08 8877·1
 1974 07 3876.8
 1974 06 7076·8
 1974 05 5977.1
 1974 04 8577·9
 1974 03 1378.3
 1974 02 8878·7
 1974 01 6978·1
 1973 12  7677.9
 1973 11  6877.7
 1973 10  4577·8
 1973 09  7277.9
 1973 08  3577.5
 1973 07  1278.0
 1973 06  8178·4
 1973 05  4077·8
 1973 04  6378.2
 1973 03  7778.9
 1973 02  5879·3
 1973 01  6578.8
 1972 12 8679.7
 1972 11 1779.6
 1972 10 6480·5
 1972 09 6780.3
 1972 08 5380.5
 1972 07 1680.3
 1972 06 1280·9
 1972 05 8980.9
 1972 04 4180·8
 1972 03 8080·8
 1972 02 3980.3
 1972 01 280.7
 1971 12  5081.2
 1971 11  4081·9
 1971 10  1081.5
 1971 09  9981.7
 1971 08  482·3
 1971 07  5482·3
 1971 06  1182.1
 1971 05  9982·5
 1971 04  5582.3
 1971 03  282.4
 1971 02  5582.4
 1971 01  4782·7
 1970 12 7782·4
 1970 11 9282·5
 1970 10 8182·3
 1970 09 1282·6
 1970 08 7282.7
 1970 07 5483.0
 1970 06 5183·2
 1970 05 8783·2
 1970 04 6583.4
 1970 03 4783·4
 1970 02 5483.6
 1970 01 9283.6
 1969 12  583·6
 1969 11  5183·3
 1969 10  183.7
 1969 09  7183.4
 1969 08  6983.2
 1969 07  7383·0
 1969 06  3183·1
 1969 05  9483.1
 1969 04  5783·6
 1969 03  4483·5
 1969 02  883.8
 1969 01  5383·2
 1968 12 9384·0
 1968 11 2284.1
 1968 10 1783.9
 1968 09 7084.2
 1968 08 2984·5
 1968 07 8784.6
 1968 06 7484.7
 1968 05 8684.4
 1968 04 4184.2
 1968 03 4884.4
 1968 02 1584.4
 1968 01 7383.8
 1967 12  2784.7
 1967 11  3484.9
 1967 10  384.7
 1967 09  2384·5
 1967 08  1484.5
 1967 07  384·6
 1967 06  2784·5
 1967 05  5784·6
 1967 04  5384.1
 1967 03  3783·9
 1967 02  9984·2
 1967 01  1884·0
 1966 12 1784·4
 1966 11 4284.5
 1966 10 5784·1
 1966 09 7584·7
 1966 08 984.5
 1966 07 5084·9
 1966 06 6384·8
 1966 05 2285·0
 1966 04 5384·4
 1966 03 1784·7
 1966 02 784.0
 1966 01 7984.2
 1965 12  084.1
 1965 11  2583.5
 1965 10  184.0
 1965 09  9083.9
 1965 08  2584·4
 1965 07  8184.6
 1965 06  8284·7
 1965 05  2485·4
 1965 04  2885·0
 1965 03  1685.3
 1965 02  1385.3
 1965 01  7485·2
 1964 12 3585.2
 1964 11 8785.5
 1964 10 8386·2
 1964 09 6185.7
 1964 08 9685.8
 1964 07 7685.3
 1964 06 585·5
 1964 05 2885·8
 1964 04 8785.7
 1964 03 8985.4
 1964 02 1585.4
 1964 01 4586.0
 1963 12  886.1
 1963 11  5786.7
 1963 10  7886·3
 1963 09  586·2
 1963 08  8485.5
 1963 07  3986.1
 1963 06  8086·0
 1963 05  2886.0
 1963 04  6686.6
 1963 03  1486·4
 1963 02  3686.3
 1963 01  5886·0
 1962 12 2985.9
 1962 11 9185·8
 1962 10 8286·0
 1962 09 6486·5
 1962 08 7486.1
 1962 07 085.1
 1962 06 8185·9
 1962 05 4086.2
 1962 04 2686.3
 1962 03 9787.1
 1962 02 2387.0
 1962 01 586·4
 1961 12  3587·0
 1961 11  6687.0
 1961 10  1986.7
 1961 09  487.0
 1961 08  7787·5
 1961 07  1287·3
 1961 06  787·5
 1961 05  587·3
 1961 04  5286·9
 1961 03  6787·6
 1961 02  5087.5
 1961 01  387.9
 1960 12 8587·4
 1960 11 8887.2
 1960 10 3687.3
 1960 09 1786.9
 1960 08 2886·8
 1960 07 5686.9
 1960 06 7987.0
 1960 05 9186·4
 1960 04 5486.8
 1960 03 7886·2
 1960 02 1586·5
 1960 01 9486.6
 1959 12  6687.3
 1959 11  8587.2
 1959 10  888·0
 1959 09  2087.4
 1959 08  8787.4
 1959 07  3587.6
 1959 06  4686·7
 1959 05  8887.2
 1959 04  6987·2
 1959 03  887·2
 1959 02  4187·6
 1959 01  4487.6
 1958 12 8787·1
 1958 11 1287.0
 1958 10 3188.0
 1958 09 5488·4
 1958 08 4187.9
 1958 07 7988·1
 1958 06 8088·2
 1958 05 1588·5
 1958 04 5788.0
 1958 03 6487·8
 1958 02 7687.9
 1958 01 4587.4
 1957 12  8587·4
 1957 11  4986·7
 1957 10  3087·2
 1957 09  8887·1
 1957 08  086·5
 1957 07  4287·1
 1957 06  8187·8
 1957 05  1387·8
 1957 04  387.9
 1957 03  7388.4
 1957 02  9288.2
 1957 01  1488.3
 1956 12 2088·5
 1956 11 9988.5
 1956 10 5188·1
 1956 09 1188·1
 1956 08 088·2
 1956 07 388·7
 1956 06 7188.7
 1956 05 4888·7
 1956 04 1988.3
 1956 03 9089·0
 1956 02 8988·1
 1956 01 9388.2
 1955 12  7788.2
 1955 11  9288.2
 1955 10  6988.3
 1955 09  4287·9
 1955 08  088·2
 1955 07  6788·7
 1955 06  9888.1
 1955 05  1287.8
 1955 04  3887·5
 1955 03  9487·5
 1955 02  8987·7
 1955 01  4987·3
 1954 12 6788.8
 1954 11 8288.6
 1954 10 8189.3
 1954 09 2189.3
 1954 08 8788.7
 1954 07 6288.1
 1954 06 3587·9
 1954 05 2388.5
 1954 04 2389.0
 1954 03 9188·6
 1954 02 4188·9
 1954 01 7389.1
 1953 12  2688.4
 1953 11  4988.9
 1953 10  1088·3
 1953 09  1688.1
 1953 08  7187·3
 1953 07  4487.8
 1953 06  8188·1
 1953 05  2188.1
 1953 04  5889·3
 1953 03  889.3
 1953 02  1686.6
 1953 01  8384.5
 1952 12 1387.3
 1952 11 9687·3
 1952 10 487.5
 1952 09 1987.6
 1952 08 8787·7
 1952 07 9287·4
 1952 06 5787.4
 1952 05 7588.0
 1952 04 5487·5
 1952 03 087.8
 1952 02 1487.5
 1952 01 1987·3
 1951 12  1687.0
 1951 11  5486.7
 1951 10  3687.1
 1951 09  4686.6
 1951 08  9787·2
 1951 07  988·0
 1951 06  1387.6
 1951 05  7587.4
 1951 04  4787.4
 1951 03  4787.2
 1951 02  5786.7
 1951 01  4986.9
 1950 12 4387·1
 1950 11 7586.6
 1950 10 587·2
 1950 09 3987·0
 1950 08 8587.3
 1950 07 2586.8
 1950 06 2187.1
 1950 05 3887·4
 1950 04 9886.2
 1950 03 5385·9
 1950 02 9386·6
 1950 01 6586·6
 1949 12  3286·9
 1949 11  4187·5
 1949 10  3387.7
 1949 09  6588·1
 1949 08  6287.4
 1949 07  9587·3
 1949 06  8087.6
 1949 05  787.2
 1949 04  9087·9
 1949 03  4788.1
 1949 02  9688.4
 1949 01  8488·2
 1948 12 4189.2
 1948 11 5489.1
 1948 10 6989·0
 1948 09 1689.0
 1948 08 6589.4
 1948 07 9789·4
 1948 06 1289·7
 1948 05 4789.5
 1948 04 3789·8
 1948 03 8489·6
 1948 02 6390·4
 1948 01 4690·3
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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: Civilian labor force participation rate, 55-64 yrs. Male: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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