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Subscribe for $2 United States Continuing Jobless Claims
Price
The current value of the Continuing Jobless Claims in United States is 1.862 M . The Continuing Jobless Claims in United States increased to 1.862 M on 7/1/2024, after it was 1.834 M on 6/1/2024. From 1/7/1967 to 7/27/2024, the average GDP in United States was 2.76 M . The all-time high was reached on 5/9/2020 with 23.13 M , while the lowest value was recorded on 5/31/1969 with 988,000 .
Continuing Jobless Claims ·
3 years
5 years
10 years
25 Years
Max
Continued Jobless Claims | |
---|---|
2/1/1967 | 1.16 M |
3/1/1967 | 1.24 M |
4/1/1967 | 1.28 M |
5/1/1967 | 1.28 M |
6/1/1967 | 1.25 M |
7/1/1967 | 1.25 M |
8/1/1967 | 1.21 M |
9/1/1967 | 1.18 M |
10/1/1967 | 1.17 M |
11/1/1967 | 1.15 M |
12/1/1967 | 1.17 M |
1/1/1968 | 1.17 M |
2/1/1968 | 1.16 M |
3/1/1968 | 1.14 M |
4/1/1968 | 1.08 M |
5/1/1968 | 1.08 M |
6/1/1968 | 1.07 M |
7/1/1968 | 1.06 M |
8/1/1968 | 1.09 M |
9/1/1968 | 1.05 M |
10/1/1968 | 1.04 M |
11/1/1968 | 1.04 M |
12/1/1968 | 1.08 M |
1/1/1969 | 1.09 M |
2/1/1969 | 1.1 M |
3/1/1969 | 1.08 M |
4/1/1969 | 1.04 M |
5/1/1969 | 1 M |
6/1/1969 | 1.01 M |
7/1/1969 | 1.09 M |
8/1/1969 | 1.08 M |
9/1/1969 | 1.09 M |
10/1/1969 | 1.11 M |
11/1/1969 | 1.17 M |
12/1/1969 | 1.25 M |
1/1/1970 | 1.37 M |
2/1/1970 | 1.42 M |
3/1/1970 | 1.48 M |
4/1/1970 | 1.64 M |
5/1/1970 | 1.83 M |
6/1/1970 | 1.85 M |
7/1/1970 | 1.88 M |
8/1/1970 | 1.94 M |
9/1/1970 | 2.06 M |
10/1/1970 | 2.21 M |
11/1/1970 | 2.3 M |
12/1/1970 | 2.21 M |
1/1/1971 | 2.1 M |
2/1/1971 | 2.1 M |
3/1/1971 | 2.14 M |
4/1/1971 | 2.15 M |
5/1/1971 | 2.17 M |
6/1/1971 | 2.19 M |
7/1/1971 | 2.12 M |
8/1/1971 | 2.19 M |
9/1/1971 | 2.24 M |
10/1/1971 | 2.2 M |
11/1/1971 | 2.15 M |
12/1/1971 | 2.09 M |
1/1/1972 | 1.92 M |
2/1/1972 | 1.93 M |
3/1/1972 | 1.9 M |
4/1/1972 | 1.89 M |
5/1/1972 | 1.88 M |
6/1/1972 | 1.86 M |
7/1/1972 | 1.95 M |
8/1/1972 | 1.81 M |
9/1/1972 | 1.8 M |
10/1/1972 | 1.75 M |
11/1/1972 | 1.73 M |
12/1/1972 | 1.69 M |
1/1/1973 | 1.62 M |
2/1/1973 | 1.59 M |
3/1/1973 | 1.57 M |
4/1/1973 | 1.55 M |
5/1/1973 | 1.56 M |
6/1/1973 | 1.57 M |
7/1/1973 | 1.6 M |
8/1/1973 | 1.66 M |
9/1/1973 | 1.67 M |
10/1/1973 | 1.66 M |
11/1/1973 | 1.71 M |
12/1/1973 | 1.77 M |
1/1/1974 | 1.96 M |
2/1/1974 | 2.01 M |
3/1/1974 | 2.06 M |
4/1/1974 | 2.07 M |
5/1/1974 | 2.05 M |
6/1/1974 | 2.08 M |
7/1/1974 | 2.12 M |
8/1/1974 | 2.17 M |
9/1/1974 | 2.28 M |
10/1/1974 | 2.45 M |
11/1/1974 | 2.8 M |
12/1/1974 | 3.29 M |
1/1/1975 | 3.62 M |
2/1/1975 | 3.86 M |
3/1/1975 | 4.18 M |
4/1/1975 | 4.47 M |
5/1/1975 | 4.58 M |
6/1/1975 | 4.38 M |
7/1/1975 | 4.14 M |
8/1/1975 | 3.95 M |
9/1/1975 | 3.9 M |
10/1/1975 | 3.73 M |
11/1/1975 | 3.49 M |
12/1/1975 | 3.2 M |
1/1/1976 | 3.04 M |
2/1/1976 | 2.87 M |
3/1/1976 | 2.84 M |
4/1/1976 | 2.87 M |
5/1/1976 | 2.94 M |
6/1/1976 | 2.99 M |
7/1/1976 | 3 M |
8/1/1976 | 3.02 M |
9/1/1976 | 3.07 M |
10/1/1976 | 3.09 M |
11/1/1976 | 3.06 M |
12/1/1976 | 2.92 M |
1/1/1977 | 2.83 M |
2/1/1977 | 2.85 M |
3/1/1977 | 2.7 M |
4/1/1977 | 2.67 M |
5/1/1977 | 2.63 M |
6/1/1977 | 2.62 M |
7/1/1977 | 2.58 M |
8/1/1977 | 2.61 M |
9/1/1977 | 2.59 M |
10/1/1977 | 2.58 M |
11/1/1977 | 2.57 M |
12/1/1977 | 2.51 M |
1/1/1978 | 2.49 M |
2/1/1978 | 2.56 M |
3/1/1978 | 2.5 M |
4/1/1978 | 2.35 M |
5/1/1978 | 2.23 M |
6/1/1978 | 2.22 M |
7/1/1978 | 2.31 M |
8/1/1978 | 2.4 M |
9/1/1978 | 2.27 M |
10/1/1978 | 2.23 M |
11/1/1978 | 2.22 M |
12/1/1978 | 2.29 M |
1/1/1979 | 2.38 M |
2/1/1979 | 2.41 M |
3/1/1979 | 2.39 M |
4/1/1979 | 2.4 M |
5/1/1979 | 2.26 M |
6/1/1979 | 2.25 M |
7/1/1979 | 2.36 M |
8/1/1979 | 2.46 M |
9/1/1979 | 2.43 M |
10/1/1979 | 2.49 M |
11/1/1979 | 2.6 M |
12/1/1979 | 2.7 M |
1/1/1980 | 2.78 M |
2/1/1980 | 2.87 M |
3/1/1980 | 2.88 M |
4/1/1980 | 3.13 M |
5/1/1980 | 3.54 M |
6/1/1980 | 3.83 M |
7/1/1980 | 3.85 M |
8/1/1980 | 3.81 M |
9/1/1980 | 3.69 M |
10/1/1980 | 3.56 M |
11/1/1980 | 3.3 M |
12/1/1980 | 3.13 M |
1/1/1981 | 3.04 M |
2/1/1981 | 2.98 M |
3/1/1981 | 2.9 M |
4/1/1981 | 2.86 M |
5/1/1981 | 2.9 M |
6/1/1981 | 2.9 M |
7/1/1981 | 2.88 M |
8/1/1981 | 2.95 M |
9/1/1981 | 3.01 M |
10/1/1981 | 3.13 M |
11/1/1981 | 3.34 M |
12/1/1981 | 3.53 M |
1/1/1982 | 3.53 M |
2/1/1982 | 3.56 M |
3/1/1982 | 3.66 M |
4/1/1982 | 3.86 M |
5/1/1982 | 3.99 M |
6/1/1982 | 4.09 M |
7/1/1982 | 4.1 M |
8/1/1982 | 4.26 M |
9/1/1982 | 4.45 M |
10/1/1982 | 4.64 M |
11/1/1982 | 4.6 M |
12/1/1982 | 4.4 M |
1/1/1983 | 3.92 M |
2/1/1983 | 3.86 M |
3/1/1983 | 3.77 M |
4/1/1983 | 3.76 M |
5/1/1983 | 3.62 M |
6/1/1983 | 3.46 M |
7/1/1983 | 3.19 M |
8/1/1983 | 3.11 M |
9/1/1983 | 3.01 M |
10/1/1983 | 2.9 M |
11/1/1983 | 2.79 M |
12/1/1983 | 2.71 M |
1/1/1984 | 2.55 M |
2/1/1984 | 2.47 M |
3/1/1984 | 2.42 M |
4/1/1984 | 2.42 M |
5/1/1984 | 2.39 M |
6/1/1984 | 2.36 M |
7/1/1984 | 2.35 M |
8/1/1984 | 2.39 M |
9/1/1984 | 2.43 M |
10/1/1984 | 2.52 M |
11/1/1984 | 2.58 M |
12/1/1984 | 2.55 M |
1/1/1985 | 2.55 M |
2/1/1985 | 2.62 M |
3/1/1985 | 2.56 M |
4/1/1985 | 2.58 M |
5/1/1985 | 2.56 M |
6/1/1985 | 2.55 M |
7/1/1985 | 2.54 M |
8/1/1985 | 2.56 M |
9/1/1985 | 2.58 M |
10/1/1985 | 2.63 M |
11/1/1985 | 2.63 M |
12/1/1985 | 2.64 M |
1/1/1986 | 2.6 M |
2/1/1986 | 2.57 M |
3/1/1986 | 2.59 M |
4/1/1986 | 2.61 M |
5/1/1986 | 2.67 M |
6/1/1986 | 2.64 M |
7/1/1986 | 2.61 M |
8/1/1986 | 2.66 M |
9/1/1986 | 2.71 M |
10/1/1986 | 2.72 M |
11/1/1986 | 2.63 M |
12/1/1986 | 2.57 M |
1/1/1987 | 2.51 M |
2/1/1987 | 2.47 M |
3/1/1987 | 2.43 M |
4/1/1987 | 2.41 M |
5/1/1987 | 2.32 M |
6/1/1987 | 2.28 M |
7/1/1987 | 2.2 M |
8/1/1987 | 2.21 M |
9/1/1987 | 2.2 M |
10/1/1987 | 2.05 M |
11/1/1987 | 2.08 M |
12/1/1987 | 2.12 M |
1/1/1988 | 2.19 M |
2/1/1988 | 2.14 M |
3/1/1988 | 2.11 M |
4/1/1988 | 2.08 M |
5/1/1988 | 2.07 M |
6/1/1988 | 2.04 M |
7/1/1988 | 2.07 M |
8/1/1988 | 2.09 M |
9/1/1988 | 2.08 M |
10/1/1988 | 2.02 M |
11/1/1988 | 1.98 M |
12/1/1988 | 2.05 M |
1/1/1989 | 2.06 M |
2/1/1989 | 2.11 M |
3/1/1989 | 2.13 M |
4/1/1989 | 2.1 M |
5/1/1989 | 2.09 M |
6/1/1989 | 2.12 M |
7/1/1989 | 2.18 M |
8/1/1989 | 2.21 M |
9/1/1989 | 2.21 M |
10/1/1989 | 2.28 M |
11/1/1989 | 2.29 M |
12/1/1989 | 2.29 M |
1/1/1990 | 2.35 M |
2/1/1990 | 2.35 M |
3/1/1990 | 2.36 M |
4/1/1990 | 2.38 M |
5/1/1990 | 2.39 M |
6/1/1990 | 2.42 M |
7/1/1990 | 2.47 M |
8/1/1990 | 2.51 M |
9/1/1990 | 2.6 M |
10/1/1990 | 2.72 M |
11/1/1990 | 2.89 M |
12/1/1990 | 2.97 M |
1/1/1991 | 3.09 M |
2/1/1991 | 3.26 M |
3/1/1991 | 3.42 M |
4/1/1991 | 3.48 M |
5/1/1991 | 3.49 M |
6/1/1991 | 3.43 M |
7/1/1991 | 3.31 M |
8/1/1991 | 3.29 M |
9/1/1991 | 3.3 M |
10/1/1991 | 3.31 M |
11/1/1991 | 3.31 M |
12/1/1991 | 3.35 M |
1/1/1992 | 3.35 M |
2/1/1992 | 3.31 M |
3/1/1992 | 3.31 M |
4/1/1992 | 3.34 M |
5/1/1992 | 3.34 M |
6/1/1992 | 3.29 M |
7/1/1992 | 3.22 M |
8/1/1992 | 3.25 M |
9/1/1992 | 3.2 M |
10/1/1992 | 3.06 M |
11/1/1992 | 2.95 M |
12/1/1992 | 2.82 M |
1/1/1993 | 2.71 M |
2/1/1993 | 2.64 M |
3/1/1993 | 2.69 M |
4/1/1993 | 2.78 M |
5/1/1993 | 2.78 M |
6/1/1993 | 2.81 M |
7/1/1993 | 2.78 M |
8/1/1993 | 2.8 M |
9/1/1993 | 2.83 M |
10/1/1993 | 2.83 M |
11/1/1993 | 2.8 M |
12/1/1993 | 2.76 M |
1/1/1994 | 2.71 M |
2/1/1994 | 2.79 M |
3/1/1994 | 2.75 M |
4/1/1994 | 2.74 M |
5/1/1994 | 2.75 M |
6/1/1994 | 2.72 M |
7/1/1994 | 2.66 M |
8/1/1994 | 2.65 M |
9/1/1994 | 2.63 M |
10/1/1994 | 2.57 M |
11/1/1994 | 2.53 M |
12/1/1994 | 2.53 M |
1/1/1995 | 2.51 M |
2/1/1995 | 2.52 M |
3/1/1995 | 2.53 M |
4/1/1995 | 2.52 M |
5/1/1995 | 2.57 M |
6/1/1995 | 2.61 M |
7/1/1995 | 2.62 M |
8/1/1995 | 2.61 M |
9/1/1995 | 2.63 M |
10/1/1995 | 2.66 M |
11/1/1995 | 2.67 M |
12/1/1995 | 2.61 M |
1/1/1996 | 2.65 M |
2/1/1996 | 2.69 M |
3/1/1996 | 2.69 M |
4/1/1996 | 2.63 M |
5/1/1996 | 2.59 M |
6/1/1996 | 2.55 M |
7/1/1996 | 2.49 M |
8/1/1996 | 2.49 M |
9/1/1996 | 2.47 M |
10/1/1996 | 2.46 M |
11/1/1996 | 2.43 M |
12/1/1996 | 2.49 M |
1/1/1997 | 2.49 M |
2/1/1997 | 2.42 M |
3/1/1997 | 2.35 M |
4/1/1997 | 2.32 M |
5/1/1997 | 2.3 M |
6/1/1997 | 2.3 M |
7/1/1997 | 2.27 M |
8/1/1997 | 2.27 M |
9/1/1997 | 2.23 M |
10/1/1997 | 2.22 M |
11/1/1997 | 2.22 M |
12/1/1997 | 2.24 M |
1/1/1998 | 2.28 M |
2/1/1998 | 2.22 M |
3/1/1998 | 2.22 M |
4/1/1998 | 2.18 M |
5/1/1998 | 2.13 M |
6/1/1998 | 2.21 M |
7/1/1998 | 2.33 M |
8/1/1998 | 2.24 M |
9/1/1998 | 2.15 M |
10/1/1998 | 2.16 M |
11/1/1998 | 2.2 M |
12/1/1998 | 2.22 M |
1/1/1999 | 2.29 M |
2/1/1999 | 2.24 M |
3/1/1999 | 2.23 M |
4/1/1999 | 2.24 M |
5/1/1999 | 2.21 M |
6/1/1999 | 2.19 M |
7/1/1999 | 2.19 M |
8/1/1999 | 2.18 M |
9/1/1999 | 2.16 M |
10/1/1999 | 2.1 M |
11/1/1999 | 2.09 M |
12/1/1999 | 2.1 M |
1/1/2000 | 2.11 M |
2/1/2000 | 2.15 M |
3/1/2000 | 2.08 M |
4/1/2000 | 2.02 M |
5/1/2000 | 1.99 M |
6/1/2000 | 2.03 M |
7/1/2000 | 2.09 M |
8/1/2000 | 2.12 M |
9/1/2000 | 2.12 M |
10/1/2000 | 2.12 M |
11/1/2000 | 2.21 M |
12/1/2000 | 2.31 M |
1/1/2001 | 2.4 M |
2/1/2001 | 2.49 M |
3/1/2001 | 2.59 M |
4/1/2001 | 2.7 M |
5/1/2001 | 2.82 M |
6/1/2001 | 2.95 M |
7/1/2001 | 3.03 M |
8/1/2001 | 3.12 M |
9/1/2001 | 3.26 M |
10/1/2001 | 3.53 M |
11/1/2001 | 3.66 M |
12/1/2001 | 3.59 M |
1/1/2002 | 3.55 M |
2/1/2002 | 3.55 M |
3/1/2002 | 3.61 M |
4/1/2002 | 3.69 M |
5/1/2002 | 3.71 M |
6/1/2002 | 3.64 M |
7/1/2002 | 3.5 M |
8/1/2002 | 3.52 M |
9/1/2002 | 3.56 M |
10/1/2002 | 3.56 M |
11/1/2002 | 3.48 M |
12/1/2002 | 3.48 M |
1/1/2003 | 3.41 M |
2/1/2003 | 3.44 M |
3/1/2003 | 3.54 M |
4/1/2003 | 3.63 M |
5/1/2003 | 3.72 M |
6/1/2003 | 3.7 M |
7/1/2003 | 3.62 M |
8/1/2003 | 3.6 M |
9/1/2003 | 3.58 M |
10/1/2003 | 3.49 M |
11/1/2003 | 3.37 M |
12/1/2003 | 3.27 M |
1/1/2004 | 3.15 M |
2/1/2004 | 3.11 M |
3/1/2004 | 3.05 M |
4/1/2004 | 3 M |
5/1/2004 | 2.98 M |
6/1/2004 | 2.95 M |
7/1/2004 | 2.92 M |
8/1/2004 | 2.89 M |
9/1/2004 | 2.86 M |
10/1/2004 | 2.78 M |
11/1/2004 | 2.73 M |
12/1/2004 | 2.72 M |
1/1/2005 | 2.72 M |
2/1/2005 | 2.69 M |
3/1/2005 | 2.66 M |
4/1/2005 | 2.6 M |
5/1/2005 | 2.59 M |
6/1/2005 | 2.6 M |
7/1/2005 | 2.6 M |
8/1/2005 | 2.58 M |
9/1/2005 | 2.72 M |
10/1/2005 | 2.8 M |
11/1/2005 | 2.7 M |
12/1/2005 | 2.64 M |
1/1/2006 | 2.56 M |
2/1/2006 | 2.51 M |
3/1/2006 | 2.46 M |
4/1/2006 | 2.4 M |
5/1/2006 | 2.38 M |
6/1/2006 | 2.41 M |
7/1/2006 | 2.45 M |
8/1/2006 | 2.47 M |
9/1/2006 | 2.45 M |
10/1/2006 | 2.45 M |
11/1/2006 | 2.48 M |
12/1/2006 | 2.48 M |
1/1/2007 | 2.52 M |
2/1/2007 | 2.57 M |
3/1/2007 | 2.52 M |
4/1/2007 | 2.5 M |
5/1/2007 | 2.45 M |
6/1/2007 | 2.48 M |
7/1/2007 | 2.54 M |
8/1/2007 | 2.55 M |
9/1/2007 | 2.54 M |
10/1/2007 | 2.56 M |
11/1/2007 | 2.62 M |
12/1/2007 | 2.71 M |
1/1/2008 | 2.8 M |
2/1/2008 | 2.84 M |
3/1/2008 | 2.91 M |
4/1/2008 | 2.96 M |
5/1/2008 | 3.01 M |
6/1/2008 | 3.06 M |
7/1/2008 | 3.18 M |
8/1/2008 | 3.38 M |
9/1/2008 | 3.52 M |
10/1/2008 | 3.73 M |
11/1/2008 | 4.1 M |
12/1/2008 | 4.52 M |
1/1/2009 | 4.86 M |
2/1/2009 | 5.3 M |
3/1/2009 | 5.77 M |
4/1/2009 | 6.18 M |
5/1/2009 | 6.53 M |
6/1/2009 | 6.53 M |
7/1/2009 | 6.14 M |
8/1/2009 | 6.05 M |
9/1/2009 | 5.98 M |
10/1/2009 | 5.77 M |
11/1/2009 | 5.46 M |
12/1/2009 | 5.14 M |
1/1/2010 | 4.84 M |
2/1/2010 | 4.79 M |
3/1/2010 | 4.73 M |
4/1/2010 | 4.73 M |
5/1/2010 | 4.67 M |
6/1/2010 | 4.58 M |
7/1/2010 | 4.53 M |
8/1/2010 | 4.46 M |
9/1/2010 | 4.47 M |
10/1/2010 | 4.36 M |
11/1/2010 | 4.2 M |
12/1/2010 | 4.1 M |
1/1/2011 | 3.92 M |
2/1/2011 | 3.85 M |
3/1/2011 | 3.77 M |
4/1/2011 | 3.77 M |
5/1/2011 | 3.77 M |
6/1/2011 | 3.74 M |
7/1/2011 | 3.72 M |
8/1/2011 | 3.72 M |
9/1/2011 | 3.74 M |
10/1/2011 | 3.7 M |
11/1/2011 | 3.65 M |
12/1/2011 | 3.57 M |
1/1/2012 | 3.45 M |
2/1/2012 | 3.38 M |
3/1/2012 | 3.34 M |
4/1/2012 | 3.32 M |
5/1/2012 | 3.33 M |
6/1/2012 | 3.32 M |
7/1/2012 | 3.31 M |
8/1/2012 | 3.31 M |
9/1/2012 | 3.31 M |
10/1/2012 | 3.28 M |
11/1/2012 | 3.33 M |
12/1/2012 | 3.19 M |
1/1/2013 | 3.13 M |
2/1/2013 | 3.06 M |
3/1/2013 | 3.04 M |
4/1/2013 | 3.04 M |
5/1/2013 | 3.01 M |
6/1/2013 | 2.99 M |
7/1/2013 | 3.02 M |
8/1/2013 | 2.93 M |
9/1/2013 | 2.9 M |
10/1/2013 | 2.93 M |
11/1/2013 | 2.85 M |
12/1/2013 | 2.86 M |
1/1/2014 | 2.88 M |
2/1/2014 | 2.85 M |
3/1/2014 | 2.78 M |
4/1/2014 | 2.72 M |
5/1/2014 | 2.67 M |
6/1/2014 | 2.59 M |
7/1/2014 | 2.53 M |
8/1/2014 | 2.5 M |
9/1/2014 | 2.45 M |
10/1/2014 | 2.42 M |
11/1/2014 | 2.41 M |
12/1/2014 | 2.38 M |
1/1/2015 | 2.35 M |
2/1/2015 | 2.34 M |
3/1/2015 | 2.33 M |
4/1/2015 | 2.28 M |
5/1/2015 | 2.26 M |
6/1/2015 | 2.27 M |
7/1/2015 | 2.24 M |
8/1/2015 | 2.25 M |
9/1/2015 | 2.24 M |
10/1/2015 | 2.21 M |
11/1/2015 | 2.21 M |
12/1/2015 | 2.2 M |
1/1/2016 | 2.21 M |
2/1/2016 | 2.2 M |
3/1/2016 | 2.17 M |
4/1/2016 | 2.15 M |
5/1/2016 | 2.17 M |
6/1/2016 | 2.16 M |
7/1/2016 | 2.13 M |
8/1/2016 | 2.15 M |
9/1/2016 | 2.11 M |
10/1/2016 | 2.07 M |
11/1/2016 | 2.04 M |
12/1/2016 | 2.05 M |
1/1/2017 | 2.08 M |
2/1/2017 | 2.06 M |
3/1/2017 | 2.02 M |
4/1/2017 | 1.96 M |
5/1/2017 | 1.9 M |
6/1/2017 | 1.92 M |
7/1/2017 | 1.93 M |
8/1/2017 | 1.92 M |
9/1/2017 | 1.89 M |
10/1/2017 | 1.9 M |
11/1/2017 | 1.96 M |
12/1/2017 | 1.97 M |
1/1/2018 | 1.98 M |
2/1/2018 | 1.97 M |
3/1/2018 | 1.95 M |
4/1/2018 | 1.88 M |
5/1/2018 | 1.76 M |
6/1/2018 | 1.68 M |
7/1/2018 | 1.65 M |
8/1/2018 | 1.61 M |
9/1/2018 | 1.55 M |
10/1/2018 | 1.59 M |
11/1/2018 | 1.69 M |
12/1/2018 | 1.75 M |
1/1/2019 | 1.78 M |
2/1/2019 | 1.8 M |
3/1/2019 | 1.78 M |
4/1/2019 | 1.67 M |
5/1/2019 | 1.63 M |
6/1/2019 | 1.63 M |
7/1/2019 | 1.63 M |
8/1/2019 | 1.62 M |
9/1/2019 | 1.58 M |
10/1/2019 | 1.62 M |
11/1/2019 | 1.69 M |
12/1/2019 | 1.77 M |
1/1/2020 | 1.81 M |
2/1/2020 | 1.78 M |
3/1/2020 | 3.71 M |
4/1/2020 | 17.03 M |
5/1/2020 | 20.33 M |
6/1/2020 | 17.68 M |
7/1/2020 | 16.56 M |
8/1/2020 | 14.01 M |
9/1/2020 | 11.82 M |
10/1/2020 | 7.87 M |
11/1/2020 | 5.95 M |
12/1/2020 | 5.38 M |
1/1/2021 | 4.94 M |
2/1/2021 | 4.43 M |
3/1/2021 | 3.98 M |
4/1/2021 | 3.79 M |
5/1/2021 | 3.62 M |
6/1/2021 | 3.3 M |
7/1/2021 | 3 M |
8/1/2021 | 2.78 M |
9/1/2021 | 2.72 M |
10/1/2021 | 2.36 M |
11/1/2021 | 1.93 M |
12/1/2021 | 1.72 M |
1/1/2022 | 1.71 M |
2/1/2022 | 1.64 M |
3/1/2022 | 1.55 M |
4/1/2022 | 1.43 M |
5/1/2022 | 1.36 M |
6/1/2022 | 1.36 M |
7/1/2022 | 1.39 M |
8/1/2022 | 1.42 M |
9/1/2022 | 1.39 M |
10/1/2022 | 1.41 M |
11/1/2022 | 1.46 M |
12/1/2022 | 1.57 M |
1/1/2023 | 1.61 M |
2/1/2023 | 1.65 M |
3/1/2023 | 1.69 M |
4/1/2023 | 1.71 M |
5/1/2023 | 1.72 M |
6/1/2023 | 1.75 M |
7/1/2023 | 1.77 M |
8/1/2023 | 1.81 M |
9/1/2023 | 1.8 M |
10/1/2023 | 1.81 M |
11/1/2023 | 1.81 M |
12/1/2023 | 1.8 M |
1/1/2024 | 1.78 M |
2/1/2024 | 1.8 M |
3/1/2024 | 1.8 M |
4/1/2024 | 1.78 M |
5/1/2024 | 1.79 M |
6/1/2024 | 1.83 M |
7/1/2024 | 1.86 M |
Continuing Jobless Claims History
Date | Value |
---|---|
7/1/2024 | 1.862 M |
6/1/2024 | 1.834 M |
5/1/2024 | 1.788 M |
4/1/2024 | 1.78 M |
3/1/2024 | 1.801 M |
2/1/2024 | 1.797 M |
1/1/2024 | 1.783 M |
12/1/2023 | 1.802 M |
11/1/2023 | 1.808 M |
10/1/2023 | 1.814 M |
Similar Macro Indicators to Continuing Jobless Claims
Name | Current | Previous | Frequency |
---|---|---|---|
🇺🇸 ADP Employment Change | 152,000 | 188,000 | Monthly |
🇺🇸 Announcements of Hiring Plans | 4,236 Persons | 9,802 Persons | Monthly |
🇺🇸 Average Hourly Earnings | 0.4 % | 0.2 % | Monthly |
🇺🇸 Average Hourly Earnings YoY | 4.1 % | 4 % | Monthly |
🇺🇸 Average Weekly Hours | 34.3 Hours | 34.3 Hours | Monthly |
🇺🇸 Cancellation rate | 2.2 % | 2.2 % | Monthly |
🇺🇸 Challenger Job Cuts | 55,597 Persons | 72,821 Persons | Monthly |
🇺🇸 Employed persons | 161.496 M | 161.864 M | Monthly |
🇺🇸 Employment Cost Index | 1.2 % | 0.9 % | Quarter |
🇺🇸 Employment Cost Index Benefits | 1.1 % | 0.7 % | Quarter |
🇺🇸 Employment Cost Index Wages | 1.1 % | 1.1 % | Quarter |
🇺🇸 Employment rate | 60.1 % | 60.2 % | Monthly |
🇺🇸 Full-time employment | 133.496 M | 133.66 M | Monthly |
🇺🇸 Initial Jobless Claims | 221,000 | 218,000 | frequency_weekly |
🇺🇸 Job Opportunities | 8.14 M | 7.919 M | Monthly |
🇺🇸 Job Opportunities | 7.418 M | 7.939 M | Monthly |
🇺🇸 Job resignations | 3.459 M | 3.452 M | Monthly |
🇺🇸 Labor costs | 121.983 points | 121.397 points | Quarter |
🇺🇸 Labor force participation rate | 62.6 % | 62.7 % | Monthly |
🇺🇸 Layoffs and Terminations | 1.498 M | 1.678 M | Monthly |
🇺🇸 Long-term unemployment rate | 0.8 % | 0.74 % | Monthly |
🇺🇸 Manufacturing wages | -46,000 | -6,000 | Monthly |
🇺🇸 Minimum Wages | 7.25 USD/Hour | 7.25 USD/Hour | Annually |
🇺🇸 Non-Agricultural Productivity QoQ | 2.2 % | 2.1 % | Quarter |
🇺🇸 Non-farm Payrolls | 272,000 | 165,000 | Monthly |
🇺🇸 Nonfarm Private Employment | 229,000 | 158,000 | Monthly |
🇺🇸 Part-time work | 28.004 M | 27.718 M | Monthly |
🇺🇸 Population | 335.89 M | 334.13 M | Annually |
🇺🇸 Productivity | 111.909 points | 111.827 points | Quarter |
🇺🇸 Retirement Age Men | 66.67 Years | 66.5 Years | Annually |
🇺🇸 Retirement Age Women | 66.67 Years | 66.5 Years | Annually |
🇺🇸 State payroll accounting | 43,000 | 7,000 | Monthly |
🇺🇸 U6 Unemployment Rate | 7.4 % | 7.4 % | Monthly |
🇺🇸 Unemployed Persons | 6.984 M | 6.834 M | Monthly |
🇺🇸 Unemployment Claims 4-Week Average | 240,750 | 238,250 | frequency_weekly |
🇺🇸 Unemployment Rate | 4.1 % | 4.1 % | Monthly |
🇺🇸 Unit Labor Costs QoQ | 1.9 % | 2.4 % | Quarter |
🇺🇸 Wage Growth | 6.3 % | 6.4 % | Monthly |
🇺🇸 Wages | 29.99 USD/Hour | 29.85 USD/Hour | Monthly |
🇺🇸 Wages in Manufacturing | 28.1 USD/Hour | 27.98 USD/Hour | Monthly |
🇺🇸 Youth Unemployment Rate | 9.5 % | 9.2 % | Monthly |
Continuing Jobless Claims refer to the actual number of unemployed individuals currently receiving unemployment benefits, having filed for these benefits at least two weeks prior.
Macro pages for other countries in America
- 🇦🇷Argentina
- 🇦🇼Aruba
- 🇧🇸Bahamas
- 🇧🇧Barbados
- 🇧🇿Belize
- 🇧🇲Bermuda
- 🇧🇴Bolivia
- 🇧🇷Brazil
- 🇨🇦Canada
- 🇰🇾Cayman Islands
- 🇨🇱Chile
- 🇨🇴Colombia
- 🇨🇷Costa Rica
- 🇨🇺Cuba
- 🇩🇴Dominican Republic
- 🇪🇨Ecuador
- 🇸🇻El Salvador
- 🇬🇹Guatemala
- 🇬🇾Guyana
- 🇭🇹Haiti
- 🇭🇳Honduras
- 🇯🇲Jamaica
- 🇲🇽Mexico
- 🇳🇮Nicaragua
- 🇵🇦Panama
- 🇵🇾Paraguay
- 🇵🇪Peru
- 🇵🇷Puerto Rico
- 🇸🇷Suriname
- 🇹🇹Trinidad and Tobago
- 🇺🇾Uruguay
- 🇻🇪Venezuela
- 🇦🇬Antigua and Barbuda
- 🇩🇲Dominica
- 🇬🇩Grenada
What is Continuing Jobless Claims?
Continuing Jobless Claims: An Insight into Labor Market Dynamics The Continuing Jobless Claims metric is a critical macroeconomic indicator that workforce analysts, economists, and policy makers closely observe to gauge the health and direction of the labor market. As a professional platform dedicated to providing robust and accurate macroeconomic data, Eulerpool recognizes the importance of delivering comprehensive and insightful descriptions of such metrics. This article delves into the nuances of Continuing Jobless Claims, shedding light on its significance, its interpretation, and its broader implications for economic analysis. Continuing Jobless Claims, often referred to as insured unemployment, represents the number of individuals who are currently receiving weekly unemployment insurance benefits. Unlike initial jobless claims, which account for new or first-time filings for unemployment benefits, Continuing Jobless Claims provide a more sustained and ongoing measure of unemployment within an economy. This distinction is vital because it enables analysts to understand the persistence of unemployment and the potential long-term challenges that the labor market might face. Tracking Continuing Jobless Claims is pivotal for several reasons. Firstly, it gives a clearer picture of the overall burden of unemployment on the economy. While initial jobless claims can be volatile and sensitive to short-term disruptions such as natural disasters or temporary layoffs, Continuing Jobless Claims smooth out such volatilities and offer a longer-term view of unemployment trends. A rising number of Continuing Jobless Claims can signal that workers are finding it difficult to re-enter the workforce, perhaps due to mismatched skills, a sluggish economy, or structural changes in the job market. Conversely, a declining trend in this metric typically suggests an improvement in labor market conditions, where more people are successfully transitioning from unemployment to employment. From an economic forecasting perspective, Continuing Jobless Claims are invaluable. They act as a leading indicator for the overall health of the economy. High and persistent Continuing Jobless Claims can foreshadow weaker consumer spending, as unemployed individuals tend to have less disposable income, which in turn affects retail sales, housing markets, and broader economic growth. Moreover, businesses might react to persistent high unemployment by delaying investments or reducing hiring, creating a feedback loop that further hampers economic recovery. Policy makers, particularly those in central banks and government agencies, rely on Continuing Jobless Claims data to formulate fiscal and monetary policies. For instance, a spike in these claims might prompt the government to extend unemployment benefits or introduce stimulus measures to support the unemployed. On the other hand, a persistent decrease might signal to central bankers that the labor market is tightening, potentially leading to inflationary pressures as demand for goods and services increases. This could influence decisions on interest rates, bond purchases, and other monetary tools. In addition to its immediate implications for economic policy and labor market analysis, the Continuing Jobless Claims metric also interplays with other macroeconomic indicators. It is often analyzed alongside metrics such as the unemployment rate, labor force participation rate, job openings, and wage growth. For instance, a scenario where Continuing Jobless Claims remain high while job openings also increase could indicate a skills mismatch in the labor market. Such insights can drive targeted educational and training programs to better align the skills of the workforce with the demands of the economy. Furthermore, variations in Continuing Jobless Claims across different regions and demographics can offer nuanced insights into socioeconomic disparities. An analysis of these claims by region may reveal which areas are recovering faster or lagging behind in terms of employment, influencing regional economic policies and infrastructure investments. Similarly, examining the data by age, gender, race, or industry can expose underlying inequities that need to be addressed to foster a more inclusive and robust labor market. While the utility of Continuing Jobless Claims as an economic indicator is profound, it is not without limitations. For one, the metric only captures those eligible for unemployment benefits, potentially omitting a significant portion of the unemployed population who do not qualify for assistance. This includes self-employed individuals, gig economy workers, and those who have exhausted their benefits. Hence, while Continuing Jobless Claims provide valuable information, it should be interpreted in conjunction with other labor market indicators for a more comprehensive understanding of employment dynamics. Moreover, changes in unemployment insurance policies or procedures can affect the continuity and comparability of this metric over time. For instance, during economic crises, governments may expand eligibility for unemployment benefits or extend the duration for which benefits can be claimed. Such policy changes can lead to temporary distortions in the Continuing Jobless Claims data. Analysts must therefore be aware of any such policy interventions when interpreting fluctuations in the metric. In conclusion, Continuing Jobless Claims is a fundamental macroeconomic indicator that provides deep insights into the labor market's health and dynamics. For professional platforms like Eulerpool, offering intricate and accurate data on such metrics is essential to support analysts, economists, and policy makers in their decision-making processes. By understanding the trends, implications, and interrelations of Continuing Jobless Claims with other economic indicators, stakeholders can craft more informed strategies to foster economic resilience and growth. As the economy evolves and new challenges emerge, the relevance of robust labor market analysis tools like Continuing Jobless Claims will continue to be paramount in steering the course towards a stable and prosperous economic future.