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 Series Title: Civilian labor force participation rate, 55 yrs. & over Female: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2002 12 6729·1
 2002 11 7129·6
 2002 10 1229.4
 2002 09 2529.4
 2002 08 6828·9
 2002 07 028·6
 2002 06 8528.5
 2002 05 1428·4
 2002 04 6028.2
 2002 03 5327.9
 2002 02 8428.4
 2002 01 2627.8
 2001 12  9327.5
 2001 11  1127.2
 2001 10  2127·5
 2001 09  627·4
 2001 08  4427·2
 2001 07  8127·1
 2001 06  3527.0
 2001 05  2427·1
 2001 04  1226·8
 2001 03  9426.7
 2001 02  8926.8
 2001 01  7226·6
 2000 12 2426·5
 2000 11 726·2
 2000 10 7026.3
 2000 09 7126·3
 2000 08 2826·2
 2000 07 226·3
 2000 06 9226.3
 2000 05 6326·1
 2000 04 126.1
 2000 03 8526.1
 2000 02 9226·1
 2000 01 2026.0
 1999 12  4425·9
 1999 11  8925.6
 1999 10  3325.6
 1999 09  3425·5
 1999 08  8025·9
 1999 07  6825·8
 1999 06  325·9
 1999 05  2525.6
 1999 04  6225.6
 1999 03  625·5
 1999 02  1525.3
 1999 01  3625.3
 1998 12 6425·4
 1998 11 925.4
 1998 10 725.0
 1998 09 3824.9
 1998 08 8624.9
 1998 07 824·5
 1998 06 4124·8
 1998 05 2425·0
 1998 04 5525.0
 1998 03 6125·1
 1998 02 625.0
 1998 01 1424·9
 1997 12  2025.1
 1997 11  4825.0
 1997 10  1524·7
 1997 09  5124.6
 1997 08  5624·5
 1997 07  7724.2
 1997 06  524·5
 1997 05  424.6
 1997 04  6524.3
 1997 03  7924·5
 1997 02  3924.3
 1997 01  6824·4
 1996 12 7224·3
 1996 11 1024·0
 1996 10 524.0
 1996 09 6324.1
 1996 08 2623.9
 1996 07 5324·1
 1996 06 1723.8
 1996 05 3123·7
 1996 04 423·5
 1996 03 1423.8
 1996 02 1124.1
 1996 01 4223.7
 1995 12  623.5
 1995 11  2524.0
 1995 10  5124.2
 1995 09  9124·2
 1995 08  5624.2
 1995 07  4224·1
 1995 06  2523·7
 1995 05  9623·9
 1995 04  723.7
 1995 03  4623.6
 1995 02  4623.8
 1995 01  223·8
 1994 12 3223·8
 1994 11 4624.2
 1994 10 5123·9
 1994 09 7823.9
 1994 08 3323.9
 1994 07 7123·8
 1994 06 324.2
 1994 05 1724.6
 1994 04 3423.9
 1994 03 7923.9
 1994 02 9124·1
 1994 01 4024.2
 1993 12  8623·3
 1993 11  5223·2
 1993 10  2722·9
 1993 09  9022·7
 1993 08  6522·9
 1993 07  9622.7
 1993 06  4923·0
 1993 05  3622.8
 1993 04  7122.6
 1993 03  4322·6
 1993 02  2022.8
 1993 01  7222.5
 1992 12 2922.8
 1992 11 4922.8
 1992 10 2722.8
 1992 09 1922·9
 1992 08 9022·8
 1992 07 9623·1
 1992 06 8522·8
 1992 05 1822.6
 1992 04 2822·7
 1992 03 9122·8
 1992 02 3022·6
 1992 01 4122.7
 1991 12  4622·6
 1991 11  6522.5
 1991 10  2622·5
 1991 09  8122.9
 1991 08  6722.5
 1991 07  7622.7
 1991 06  6022·8
 1991 05  5722.5
 1991 04  4222.6
 1991 03  322·7
 1991 02  4522·7
 1991 01  1322·6
 1990 12 4722.8
 1990 11 5522·7
 1990 10 2022.8
 1990 09 1922·8
 1990 08 8222.8
 1990 07 6322.6
 1990 06 4622·8
 1990 05 6823.2
 1990 04 7222·9
 1990 03 8422.9
 1990 02 1323·0
 1990 01 8023.0
 1989 12  6823.3
 1989 11  9823·1
 1989 10  3223.0
 1989 09  9922.9
 1989 08  4522·8
 1989 07  1422.9
 1989 06  4323.0
 1989 05  9423.2
 1989 04  422·8
 1989 03  6222·9
 1989 02  622·8
 1989 01  5923.2
 1988 12 7022·8
 1988 11 9923·1
 1988 10 1222·5
 1988 09 1322·4
 1988 08 9322.2
 1988 07 621.9
 1988 06 7222.0
 1988 05 122·0
 1988 04 4922.5
 1988 03 9122·1
 1988 02 2422.3
 1988 01 9122.2
 1987 12  3822·2
 1987 11  8522.2
 1987 10  3122·3
 1987 09  7822.0
 1987 08  8622·2
 1987 07  4522·1
 1987 06  8222·0
 1987 05  8121·8
 1987 04  4221.6
 1987 03  5221·7
 1987 02  8821·6
 1987 01  4421.8
 1986 12 8321·4
 1986 11 1321.9
 1986 10 8821·8
 1986 09 3622.2
 1986 08 922·7
 1986 07 6022·7
 1986 06 4522.5
 1986 05 5122·0
 1986 04 4421·8
 1986 03 4821·9
 1986 02 4721·9
 1986 01 921.9
 1985 12  4021·8
 1985 11  6121.7
 1985 10  621.9
 1985 09  5321.7
 1985 08  7222·0
 1985 07  421.9
 1985 06  6122.0
 1985 05  5322.3
 1985 04  4122·2
 1985 03  922·4
 1985 02  7422.2
 1985 01  322.0
 1984 12 7022.2
 1984 11 3422·1
 1984 10 3322.0
 1984 09 2222.1
 1984 08 1222·0
 1984 07 5822.1
 1984 06 5222.3
 1984 05 5422·4
 1984 04 4222·4
 1984 03 9022.3
 1984 02 6722·4
 1984 01 6822.2
 1983 12  5922.5
 1983 11  6022.3
 1983 10  4222.5
 1983 09  5822.7
 1983 08  8922·3
 1983 07  2522.2
 1983 06  6522·4
 1983 05  4422·3
 1983 04  8322·2
 1983 03  6822.4
 1983 02  4922·6
 1983 01  7022.7
 1982 12 1622.6
 1982 11 9422.7
 1982 10 3222.6
 1982 09 423·1
 1982 08 8822·9
 1982 07 3622·9
 1982 06 7522.8
 1982 05 4222·9
 1982 04 2622.7
 1982 03 4922·6
 1982 02 6822·3
 1982 01 222.5
 1981 12  7822.4
 1981 11  1622·6
 1981 10  2422·6
 1981 09  2722.5
 1981 08  2122·7
 1981 07  4322·8
 1981 06  7922·9
 1981 05  8923·0
 1981 04  5522·9
 1981 03  6223·0
 1981 02  9822·7
 1981 01  7922.5
 1980 12 522·3
 1980 11 2922.6
 1980 10 6722.7
 1980 09 1922·7
 1980 08 2223·0
 1980 07 2722·9
 1980 06 022·7
 1980 05 5122.9
 1980 04 8123.0
 1980 03 6122.8
 1980 02 3523·1
 1980 01 4523.3
 1979 12  8223.2
 1979 11  6423·2
 1979 10  3523·4
 1979 09  9522·9
 1979 08  5223·1
 1979 07  9122.9
 1979 06  8723·1
 1979 05  2123·2
 1979 04  3923.2
 1979 03  2623.5
 1979 02  423.4
 1979 01  6623.3
 1978 12 2123.2
 1978 11 7323.2
 1978 10 2522.8
 1978 09 9923·2
 1978 08 9622.9
 1978 07 6623.2
 1978 06 1123·3
 1978 05 1523·2
 1978 04 9123·3
 1978 03 6023·0
 1978 02 5223.0
 1978 01 3323.2
 1977 12  5623.1
 1977 11  3723·2
 1977 10  6023·0
 1977 09  9723.1
 1977 08  6622·6
 1977 07  522·6
 1977 06  7222·6
 1977 05  7523·2
 1977 04  2223.2
 1977 03  9322.8
 1977 02  5222·9
 1977 01  6322·7
 1976 12 4823.1
 1976 11 6023·0
 1976 10 8823.0
 1976 09 8023·0
 1976 08 9623·1
 1976 07 8723·1
 1976 06 9222.8
 1976 05 6922.7
 1976 04 4122.8
 1976 03 8023.1
 1976 02 323·4
 1976 01 9923·2
 1975 12  8323·1
 1975 11  7223.0
 1975 10  8323.2
 1975 09  6522.9
 1975 08  4822·9
 1975 07  1823.3
 1975 06  2023.3
 1975 05  8723.3
 1975 04  8623·2
 1975 03  023·1
 1975 02  2723·0
 1975 01  722.9
 1974 12 7222·7
 1974 11 2522·3
 1974 10 4222.6
 1974 09 9522.9
 1974 08 723.1
 1974 07 2523.3
 1974 06 2823.3
 1974 05 4623.2
 1974 04 1623·3
 1974 03 5723.3
 1974 02 7323·2
 1974 01 7823.3
 1973 12  4923.4
 1973 11  123·5
 1973 10  8923·6
 1973 09  3623.8
 1973 08  8324·1
 1973 07  6524·0
 1973 06  1523·8
 1973 05  8923.8
 1973 04  1623·8
 1973 03  8023.7
 1973 02  1323.9
 1973 01  3023·8
 1972 12 7624.0
 1972 11 224.2
 1972 10 7124·5
 1972 09 8024·7
 1972 08 1124.6
 1972 07 1524.5
 1972 06 324·5
 1972 05 8124.6
 1972 04 9824.5
 1972 03 2324.6
 1972 02 4624·7
 1972 01 424·9
 1971 12  3725.5
 1971 11  5925.5
 1971 10  6225.3
 1971 09  4325.0
 1971 08  5424.6
 1971 07  8024·4
 1971 06  4124.8
 1971 05  1625.0
 1971 04  9825.1
 1971 03  6625·3
 1971 02  9425.4
 1971 01  6825·8
 1970 12 4525·4
 1970 11 2625·4
 1970 10 6025·4
 1970 09 6725.3
 1970 08 9525·2
 1970 07 8925.4
 1970 06 125.3
 1970 05 925.2
 1970 04 7425·4
 1970 03 1425.7
 1970 02 625.3
 1970 01 1225·0
 1969 12  3325·0
 1969 11  8125.1
 1969 10  8725.3
 1969 09  2025·5
 1969 08  4625·6
 1969 07  9825.7
 1969 06  8225·7
 1969 05  325.9
 1969 04  1425·8
 1969 03  9525·5
 1969 02  5425.6
 1969 01  5425.2
 1968 12 6225·2
 1968 11 3025·3
 1968 10 9225.1
 1968 09 9324·9
 1968 08 4224·7
 1968 07 8425.0
 1968 06 725.3
 1968 05 6425.6
 1968 04 2724·7
 1968 03 6425.0
 1968 02 3825·0
 1968 01 3624·7
 1967 12  1925·1
 1967 11  125·2
 1967 10  4725.3
 1967 09  325.4
 1967 08  4325.1
 1967 07  5325.0
 1967 06  2325.0
 1967 05  8424·8
 1967 04  5024.8
 1967 03  024.5
 1967 02  7924.9
 1967 01  2425·4
 1966 12 1424.9
 1966 11 4925·3
 1966 10 5224·9
 1966 09 9125·1
 1966 08 3625.2
 1966 07 3324·6
 1966 06 524.4
 1966 05 8024.5
 1966 04 4224·6
 1966 03 724.7
 1966 02 2624·8
 1966 01 1024.9
 1965 12  8224·7
 1965 11  5424.7
 1965 10  2824·6
 1965 09  2524.3
 1965 08  3124.6
 1965 07  7924·9
 1965 06  4925.1
 1965 05  9324.5
 1965 04  8924.7
 1965 03  1524.6
 1965 02  5224·6
 1965 01  1124.4
 1964 12 8324·1
 1964 11 1824.0
 1964 10 2424.3
 1964 09 9523·9
 1964 08 6223·9
 1964 07 7024·2
 1964 06 7924.6
 1964 05 9224·9
 1964 04 325·1
 1964 03 7824.2
 1964 02 5524.3
 1964 01 6823.8
 1963 12  423·9
 1963 11  7324·0
 1963 10  1324·1
 1963 09  2024·1
 1963 08  9223·8
 1963 07  1123.7
 1963 06  4323.8
 1963 05  6623·8
 1963 04  1723·6
 1963 03  7523.5
 1963 02  5823·4
 1963 01  5023.5
 1962 12 5523.5
 1962 11 7123.4
 1962 10 9423·6
 1962 09 4123.9
 1962 08 523·7
 1962 07 3123·2
 1962 06 1523.4
 1962 05 3323.6
 1962 04 9423·4
 1962 03 1123.9
 1962 02 823·8
 1962 01 4623.6
 1961 12  7123.7
 1961 11  9323·3
 1961 10  8823.6
 1961 09  2423.3
 1961 08  1223·8
 1961 07  8324.0
 1961 06  9124.1
 1961 05  3523·6
 1961 04  1823·5
 1961 03  1424.4
 1961 02  8024.6
 1961 01  7524·8
 1960 12 1325·0
 1960 11 4224.8
 1960 10 4424·0
 1960 09 6124·2
 1960 08 4823.9
 1960 07 4823·3
 1960 06 9523·5
 1960 05 3923.5
 1960 04 9923·3
 1960 03 4022·2
 1960 02 7122·9
 1960 01 7723·0
 1959 12  6623.2
 1959 11  4823·0
 1959 10  3623·5
 1959 09  7023.5
 1959 08  7523.5
 1959 07  3023·4
 1959 06  7623.3
 1959 05  3623·4
 1959 04  7523.0
 1959 03  6722·9
 1959 02  522·0
 1959 01  2122·8
 1958 12 4222.9
 1958 11 6622·7
 1958 10 6022·3
 1958 09 9222·4
 1958 08 7722·0
 1958 07 5822.2
 1958 06 522·7
 1958 05 4422·6
 1958 04 422·7
 1958 03 023.0
 1958 02 2822.7
 1958 01 9622·4
 1957 12  7522.5
 1957 11  7422·1
 1957 10  4122.1
 1957 09  9322·1
 1957 08  6522·0
 1957 07  8622·7
 1957 06  8222·5
 1957 05  422.2
 1957 04  7422.1
 1957 03  6823·0
 1957 02  1522.7
 1957 01  2122·4
 1956 12 2722.7
 1956 11 7722.7
 1956 10 2622.4
 1956 09 6622.9
 1956 08 7522.8
 1956 07 9323·2
 1956 06 3022·8
 1956 05 8223·4
 1956 04 9323·3
 1956 03 2522·8
 1956 02 6322.0
 1956 01 3822.6
 1955 12  8222·5
 1955 11  422.4
 1955 10  8922.4
 1955 09  2821.9
 1955 08  6722·1
 1955 07  8521·5
 1955 06  9521.1
 1955 05  7121.2
 1955 04  9821.5
 1955 03  5120·8
 1955 02  9520.4
 1955 01  1220·8
 1954 12 5120·4
 1954 11 920·5
 1954 10 2620.4
 1954 09 1920·1
 1954 08 2619.9
 1954 07 9019·4
 1954 06 5219·4
 1954 05 8719·8
 1954 04 4919.7
 1954 03 5019·4
 1954 02 6019·0
 1954 01 3518·8
 1953 12  7018·3
 1953 11  7218.2
 1953 10  6319·4
 1953 09  819·6
 1953 08  6520·9
 1953 07  6220.5
 1953 06  9820·4
 1953 05  7319.0
 1953 04  3319.1
 1953 03  5119·9
 1953 02  3019.8
 1953 01  2620.5
 1952 12 020.5
 1952 11 9721·6
 1952 10 4520.3
 1952 09 8520·8
 1952 08 1619·6
 1952 07 8018·9
 1952 06 5718.0
 1952 05 9519.0
 1952 04 5818·0
 1952 03 917·9
 1952 02 418·4
 1952 01 2418.8
 1951 12  2518.7
 1951 11  1318.7
 1951 10  4818.2
 1951 09  6818·4
 1951 08  4318.4
 1951 07  5018.4
 1951 06  7718.6
 1951 05  4418·5
 1951 04  6219·2
 1951 03  220·4
 1951 02  419·3
 1951 01  9818.6
 1950 12 5718.7
 1950 11 7519·1
 1950 10 6718·6
 1950 09 9818·5
 1950 08 2918.7
 1950 07 119·0
 1950 06 3019.3
 1950 05 3819.0
 1950 04 319·2
 1950 03 3619.1
 1950 02 7919.0
 1950 01 3818.7
 1949 12  3119·0
 1949 11  6219.0
 1949 10  2818·7
 1949 09  4218·8
 1949 08  8618·3
 1949 07  8517·7
 1949 06  1417·3
 1949 05  1917·5
 1949 04  6917.1
 1949 03  3917.1
 1949 02  117.3
 1949 01  6217.3
 1948 12 717·3
 1948 11 7816·8
 1948 10 7717.0
 1948 09 9217·3
 1948 08 4817.5
 1948 07 8418.0
 1948 06 5417.8
 1948 05 5217·3
 1948 04 7017.6
 1948 03 6517.3
 1948 02 7016·5
 1948 01 1216·2
Economagic: Economic Chart Dispenser

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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 yrs. & over Female: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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