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 Series Title: Civilian labor force participation rate, 65 yrs. & over 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 1617·0
 2002 11 6917·2
 2002 10 317.5
 2002 09 2117·7
 2002 08 4918·1
 2002 07 1718.0
 2002 06 5518.4
 2002 05 2518.4
 2002 04 6718.1
 2002 03 8217·5
 2002 02 2717.8
 2002 01 4617.8
 2001 12  2117.7
 2001 11  4617.8
 2001 10  3117·7
 2001 09  2917·3
 2001 08  8517·9
 2001 07  1517.5
 2001 06  617.4
 2001 05  4317·2
 2001 04  6117·7
 2001 03  2117.8
 2001 02  1417·8
 2001 01  8118.1
 2000 12 7317.4
 2000 11 2217.5
 2000 10 4317·6
 2000 09 6317.5
 2000 08 7218·1
 2000 07 9717.4
 2000 06 617·3
 2000 05 3417.6
 2000 04 3417.1
 2000 03 5517·9
 2000 02 4117.7
 2000 01 6217·1
 1999 12  5916.9
 1999 11  2616·8
 1999 10  1217·0
 1999 09  4117·6
 1999 08  7117·3
 1999 07  6817.4
 1999 06  517.4
 1999 05  9116·9
 1999 04  2316.8
 1999 03  6216·4
 1999 02  3316.5
 1999 01  5516·2
 1998 12 8816·7
 1998 11 1416·6
 1998 10 3616.4
 1998 09 316·9
 1998 08 6816·1
 1998 07 5717·0
 1998 06 7416·0
 1998 05 2916·4
 1998 04 8816.5
 1998 03 4615.7
 1998 02 3716·4
 1998 01 5316·6
 1997 12  9717·3
 1997 11  6417·2
 1997 10  3817·0
 1997 09  1716·8
 1997 08  7316·9
 1997 07  1816·8
 1997 06  1317.1
 1997 05  9217·3
 1997 04  1416.8
 1997 03  3817·2
 1997 02  2616·9
 1997 01  7217·4
 1996 12 4617.0
 1996 11 8117·1
 1996 10 6617.0
 1996 09 7516·6
 1996 08 2117·1
 1996 07 3017.1
 1996 06 4417.0
 1996 05 4616.7
 1996 04 1216·3
 1996 03 9017.0
 1996 02 9916.8
 1996 01 5316.5
 1995 12  2116.6
 1995 11  9416.9
 1995 10  9316·9
 1995 09  9216.9
 1995 08  7316·3
 1995 07  9816·3
 1995 06  1516.7
 1995 05  8216.2
 1995 04  1817.1
 1995 03  8417.1
 1995 02  7717·0
 1995 01  6517.2
 1994 12 3216·8
 1994 11 5716·7
 1994 10 1816·7
 1994 09 1216·8
 1994 08 1517.3
 1994 07 5117·0
 1994 06 9916.8
 1994 05 1717.0
 1994 04 9216·8
 1994 03 2116·5
 1994 02 1016.6
 1994 01 9817·0
 1993 12  1415·8
 1993 11  5015.7
 1993 10  6216·0
 1993 09  115·8
 1993 08  5716·0
 1993 07  4415·9
 1993 06  9515.5
 1993 05  9315·3
 1993 04  2014·5
 1993 03  3415·3
 1993 02  7015.5
 1993 01  7015.6
 1992 12 2915·7
 1992 11 7716.7
 1992 10 7615.8
 1992 09 5015.9
 1992 08 3515.9
 1992 07 5515·8
 1992 06 2516·2
 1992 05 7716·1
 1992 04 1216.2
 1992 03 7416·6
 1992 02 5516·2
 1992 01 2115.9
 1991 12  6115·1
 1991 11  6615.7
 1991 10  3015·5
 1991 09  7615·6
 1991 08  915.5
 1991 07  8915.8
 1991 06  3716.1
 1991 05  6115·8
 1991 04  416.3
 1991 03  2215.9
 1991 02  8915.6
 1991 01  2015·4
 1990 12 2215.9
 1990 11 7415·8
 1990 10 2415·9
 1990 09 2216.1
 1990 08 6416.5
 1990 07 7516.4
 1990 06 516.1
 1990 05 6216·5
 1990 04 5616·4
 1990 03 8216·7
 1990 02 2016.7
 1990 01 5717·0
 1989 12  4716.6
 1989 11  7816·1
 1989 10  8116.6
 1989 09  5415·8
 1989 08  1316.5
 1989 07  6816.8
 1989 06  2716.5
 1989 05  2016.7
 1989 04  5417·2
 1989 03  8416·9
 1989 02  2017.0
 1989 01  5016.9
 1988 12 9616.9
 1988 11 8316.8
 1988 10 4816·8
 1988 09 6416.5
 1988 08 8916·6
 1988 07 4616·6
 1988 06 2417·0
 1988 05 416·3
 1988 04 816.1
 1988 03 8116.2
 1988 02 8716.4
 1988 01 4116·3
 1987 12  5416·9
 1987 11  1816·8
 1987 10  9916·7
 1987 09  6816·4
 1987 08  5316·8
 1987 07  1516·2
 1987 06  4716.5
 1987 05  516·3
 1987 04  5415·9
 1987 03  5316·0
 1987 02  4515.7
 1987 01  9515.7
 1986 12 3416·1
 1986 11 3815·8
 1986 10 3115·3
 1986 09 815·5
 1986 08 9215·6
 1986 07 315.9
 1986 06 6716.1
 1986 05 3916.0
 1986 04 5316·1
 1986 03 416.2
 1986 02 4216.3
 1986 01 516·7
 1985 12  6916·0
 1985 11  2215·9
 1985 10  6816.1
 1985 09  5216.1
 1985 08  1515.7
 1985 07  6515·1
 1985 06  8315.5
 1985 05  4915.6
 1985 04  9015·8
 1985 03  6316.3
 1985 02  5015.8
 1985 01  8815·7
 1984 12 2115·6
 1984 11 7415.8
 1984 10 5716·2
 1984 09 9116·6
 1984 08 5816·1
 1984 07 8016.1
 1984 06 1816·0
 1984 05 116·4
 1984 04 7616.2
 1984 03 8616.4
 1984 02 6816.8
 1984 01 8617·1
 1983 12  7516.9
 1983 11  2417·5
 1983 10  7317.2
 1983 09  4217·7
 1983 08  8217·5
 1983 07  5217.7
 1983 06  1917·4
 1983 05  8717.1
 1983 04  4617.6
 1983 03  5017.6
 1983 02  1917·4
 1983 01  6517.5
 1982 12 4217·6
 1982 11 2617.6
 1982 10 1217.1
 1982 09 4617·6
 1982 08 7217·3
 1982 07 1017.8
 1982 06 6018·4
 1982 05 2418·2
 1982 04 6018.1
 1982 03 6118.0
 1982 02 5117·9
 1982 01 1717·9
 1981 12  5718·4
 1981 11  5817.8
 1981 10  9818·3
 1981 09  7117·8
 1981 08  3918·2
 1981 07  1018·2
 1981 06  3918.4
 1981 05  5318.6
 1981 04  519.0
 1981 03  4718.5
 1981 02  3718.6
 1981 01  5918.5
 1980 12 8118.5
 1980 11 2718.6
 1980 10 7918.5
 1980 09 718.6
 1980 08 1819·2
 1980 07 3018.7
 1980 06 7918.9
 1980 05 4219·0
 1980 04 9019.1
 1980 03 6419·2
 1980 02 7419·9
 1980 01 3319.6
 1979 12  9919·4
 1979 11  6019.7
 1979 10  2819.5
 1979 09  7320.1
 1979 08  7019·9
 1979 07  7419.9
 1979 06  2820·1
 1979 05  8319.9
 1979 04  5220·1
 1979 03  8920·1
 1979 02  8720.4
 1979 01  520·3
 1978 12 2220.5
 1978 11 1120.2
 1978 10 4320.3
 1978 09 1020.2
 1978 08 8020.3
 1978 07 7220.4
 1978 06 5921.0
 1978 05 9120.4
 1978 04 5120.4
 1978 03 2820·0
 1978 02 2320.1
 1978 01 6820·4
 1977 12  8620·7
 1977 11  6220·6
 1977 10  4720·4
 1977 09  8420.0
 1977 08  5919·8
 1977 07  7820·0
 1977 06  7019.7
 1977 05  919·9
 1977 04  7219.3
 1977 03  1119·4
 1977 02  5419·9
 1977 01  3719.8
 1976 12 5020.1
 1976 11 1520.0
 1976 10 8819.8
 1976 09 8820.3
 1976 08 4320.1
 1976 07 7219·9
 1976 06 8420·2
 1976 05 420.0
 1976 04 2620.1
 1976 03 9020·4
 1976 02 8020·5
 1976 01 5620·5
 1975 12  120.5
 1975 11  9920·7
 1975 10  3920.8
 1975 09  3721·3
 1975 08  9221·4
 1975 07  5721·9
 1975 06  4921.6
 1975 05  6722.1
 1975 04  4922.5
 1975 03  4522·4
 1975 02  2322.4
 1975 01  9022·2
 1974 12 4922.3
 1974 11 7021.7
 1974 10 9923·0
 1974 09 7522·5
 1974 08 9122·6
 1974 07 6422·1
 1974 06 3922.3
 1974 05 1622.2
 1974 04 122·5
 1974 03 8222.2
 1974 02 3122·5
 1974 01 3222.2
 1973 12  2922·2
 1973 11  722.5
 1973 10  8922·6
 1973 09  6722·3
 1973 08  5122.8
 1973 07  4523·0
 1973 06  5023.0
 1973 05  9122.9
 1973 04  6722·8
 1973 03  2823·4
 1973 02  7822.6
 1973 01  9822.6
 1972 12 323·7
 1972 11 1323.6
 1972 10 5924.2
 1972 09 624·5
 1972 08 824·3
 1972 07 8124.3
 1972 06 724·2
 1972 05 6124·1
 1972 04 5924·1
 1972 03 3924.9
 1972 02 6024·7
 1972 01 3025.2
 1971 12  5524.9
 1971 11  1925·1
 1971 10  8125·0
 1971 09  925·4
 1971 08  2225.5
 1971 07  7625.5
 1971 06  5825·8
 1971 05  1626.2
 1971 04  1125.7
 1971 03  9425.2
 1971 02  325.1
 1971 01  9526.0
 1970 12 9726.1
 1970 11 7726·1
 1970 10 5426.2
 1970 09 1625·9
 1970 08 8026.2
 1970 07 5926·4
 1970 06 7426.7
 1970 05 7327·4
 1970 04 8527.5
 1970 03 9627·7
 1970 02 5227·6
 1970 01 8527.3
 1969 12  6326·8
 1969 11  6927.1
 1969 10  027·0
 1969 09  9627·5
 1969 08  9027.2
 1969 07  8526·8
 1969 06  5626·8
 1969 05  7526·9
 1969 04  6527.2
 1969 03  7527.7
 1969 02  8227.7
 1969 01  1627.1
 1968 12 1527.3
 1968 11 9727·4
 1968 10 6727·2
 1968 09 3927.3
 1968 08 8927.4
 1968 07 3227·8
 1968 06 2428·4
 1968 05 8827.5
 1968 04 6326.9
 1968 03 8726·5
 1968 02 9126.7
 1968 01 3126.9
 1967 12  3727·6
 1967 11  9227.5
 1967 10  2927.5
 1967 09  6327·0
 1967 08  3827·3
 1967 07  627.3
 1967 06  2827·9
 1967 05  326·7
 1967 04  1426.9
 1967 03  826·2
 1967 02  126.5
 1967 01  9526·8
 1966 12 4126·9
 1966 11 827.1
 1966 10 8427.1
 1966 09 927·2
 1966 08 2127.4
 1966 07 3427.3
 1966 06 4127.0
 1966 05 3826.4
 1966 04 7827·1
 1966 03 4626·8
 1966 02 6027.2
 1966 01 227·0
 1965 12  6227·4
 1965 11  2326·8
 1965 10  5427.8
 1965 09  4428.0
 1965 08  5027·7
 1965 07  7327·8
 1965 06  6127.8
 1965 05  3528·5
 1965 04  4127.5
 1965 03  2728.7
 1965 02  4228·5
 1965 01  6728.0
 1964 12 6127·6
 1964 11 4227.6
 1964 10 8827.8
 1964 09 6127.9
 1964 08 6028.0
 1964 07 028·2
 1964 06 1027.8
 1964 05 5928.8
 1964 04 1428.5
 1964 03 728.3
 1964 02 4528·1
 1964 01 3327.7
 1963 12  2326.8
 1963 11  9527·9
 1963 10  5828·0
 1963 09  7428.6
 1963 08  1228·9
 1963 07  2129.1
 1963 06  3628.8
 1963 05  428.6
 1963 04  3227.6
 1963 03  6528.8
 1963 02  9228·5
 1963 01  6628·7
 1962 12 5828·6
 1962 11 3628.9
 1962 10 6429·3
 1962 09 2829.9
 1962 08 9030.0
 1962 07 6429.7
 1962 06 1430·7
 1962 05 8631·6
 1962 04 5530.8
 1962 03 631·7
 1962 02 3131·7
 1962 01 5731.2
 1961 12  230.7
 1961 11  4430.6
 1961 10  2730·4
 1961 09  8830.1
 1961 08  730·9
 1961 07  8431·1
 1961 06  4031·6
 1961 05  4631.9
 1961 04  7032·3
 1961 03  5833.9
 1961 02  3433.4
 1961 01  2533.7
 1960 12 1633.7
 1960 11 2333.4
 1960 10 9633.1
 1960 09 4632·9
 1960 08 9632.5
 1960 07 6032·7
 1960 06 3832.7
 1960 05 5132.9
 1960 04 8633.2
 1960 03 7633.1
 1960 02 033·6
 1960 01 1134·1
 1959 12  8534.6
 1959 11  334·3
 1959 10  4334.6
 1959 09  1934·3
 1959 08  2034.3
 1959 07  9634·6
 1959 06  5634·1
 1959 05  9433·9
 1959 04  4034·1
 1959 03  3934.4
 1959 02  5233·6
 1959 01  8133.7
 1958 12 2134.2
 1958 11 3734·8
 1958 10 6835·6
 1958 09 4835.0
 1958 08 6335·6
 1958 07 2335.4
 1958 06 6735·5
 1958 05 9136·0
 1958 04 9136.0
 1958 03 5236·4
 1958 02 3836·7
 1958 01 2736·3
 1957 12  5737·4
 1957 11  636·9
 1957 10  9336·6
 1957 09  137.1
 1957 08  3537·1
 1957 07  9337·6
 1957 06  6938·5
 1957 05  8338.1
 1957 04  2637·4
 1957 03  4337·8
 1957 02  3138·3
 1957 01  6637.4
 1956 12 5539.1
 1956 11 1439·2
 1956 10 6539.4
 1956 09 7039·7
 1956 08 7339.6
 1956 07 8739.7
 1956 06 8640.4
 1956 05 3840.7
 1956 04 5540·9
 1956 03 6840.1
 1956 02 2940.3
 1956 01 4041.1
 1955 12  140.3
 1955 11  8940.6
 1955 10  5940·5
 1955 09  7040·2
 1955 08  3740.0
 1955 07  839.3
 1955 06  6438.8
 1955 05  4739.1
 1955 04  1339·3
 1955 03  539·0
 1955 02  5538.3
 1955 01  1639.2
 1954 12 539.2
 1954 11 8740·1
 1954 10 7240·8
 1954 09 4540.5
 1954 08 1341.2
 1954 07 8640·0
 1954 06 7740.6
 1954 05 2840·2
 1954 04 6240.9
 1954 03 5840·7
 1954 02 5841·7
 1954 01 8540.0
 1953 12  239·6
 1953 11  8640·3
 1953 10  2741.0
 1953 09  6040·0
 1953 08  1040.9
 1953 07  7542.1
 1953 06  2441·2
 1953 05  2241·3
 1953 04  8541.8
 1953 03  5843.1
 1953 02  943.7
 1953 01  6443.7
 1952 12 5442·7
 1952 11 9142.3
 1952 10 7341.8
 1952 09 743.1
 1952 08 6542·1
 1952 07 5542·8
 1952 06 2643·1
 1952 05 9542.2
 1952 04 9542·1
 1952 03 5841·0
 1952 02 843.5
 1952 01 9644·5
 1951 12  4544·1
 1951 11  3144.3
 1951 10  8144·6
 1951 09  445.1
 1951 08  3945.3
 1951 07  3045·0
 1951 06  3345.9
 1951 05  4046.7
 1951 04  2745.0
 1951 03  3744.7
 1951 02  7743·9
 1951 01  4643.0
 1950 12 8644·3
 1950 11 6044.7
 1950 10 5144.0
 1950 09 9245·2
 1950 08 1545.8
 1950 07 2945·7
 1950 06 1845.9
 1950 05 7346.4
 1950 04 4146.6
 1950 03 146.9
 1950 02 6546.9
 1950 01 747·3
 1949 12  1347.7
 1949 11  5747.4
 1949 10  547.7
 1949 09  3846·8
 1949 08  746·4
 1949 07  647.3
 1949 06  7746·7
 1949 05  3646·6
 1949 04  2347.1
 1949 03  7746.5
 1949 02  4446.8
 1949 01  9547.1
 1948 12 8648·6
 1948 11 2847.8
 1948 10 9247.8
 1948 09 3446·8
 1948 08 4847·1
 1948 07 4146·1
 1948 06 3546·5
 1948 05 9746.0
 1948 04 8345.9
 1948 03 2145·1
 1948 02 1247.2
 1948 01 5346·6
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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, 65 yrs. & over Male: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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