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United States Construction Spending
Price
The current value of the Construction Spending in United States is 0.1 %. The Construction Spending in United States decreased to 0.1 % on 3/1/2024, after it was 0.5 % on 2/1/2024. From 2/1/1964 to 5/1/2024, the average GDP in United States was 0.48 %. The all-time high was reached on 4/1/1978 with 5.9 %, while the lowest value was recorded on 2/1/1975 with -4.8 %.
Construction Spending ·
3 years
5 years
10 years
25 Years
Max
| Construction Spending | |
|---|---|
| 2/1/1964 | 0.1 % |
| 3/1/1964 | 3 % |
| 4/1/1964 | 0.1 % |
| 6/1/1964 | 1.9 % |
| 7/1/1964 | 0.8 % |
| 10/1/1964 | 1 % |
| 11/1/1964 | 0.7 % |
| 12/1/1964 | 1.5 % |
| 2/1/1965 | 1.2 % |
| 3/1/1965 | 3.4 % |
| 5/1/1965 | 1.8 % |
| 6/1/1965 | 1.7 % |
| 8/1/1965 | 2.2 % |
| 9/1/1965 | 0.2 % |
| 10/1/1965 | 1.4 % |
| 11/1/1965 | 1.3 % |
| 12/1/1965 | 1.4 % |
| 2/1/1966 | 0.6 % |
| 3/1/1966 | 4 % |
| 7/1/1966 | 1.4 % |
| 8/1/1966 | 1.6 % |
| 1/1/1967 | 1.2 % |
| 3/1/1967 | 0.8 % |
| 4/1/1967 | 0.2 % |
| 5/1/1967 | 1.3 % |
| 6/1/1967 | 0.1 % |
| 7/1/1967 | 1 % |
| 8/1/1967 | 0.3 % |
| 9/1/1967 | 0.7 % |
| 10/1/1967 | 2 % |
| 11/1/1967 | 2.4 % |
| 12/1/1967 | 1.8 % |
| 1/1/1968 | 0.1 % |
| 2/1/1968 | 0.7 % |
| 3/1/1968 | 2.4 % |
| 4/1/1968 | 0.8 % |
| 5/1/1968 | 0.1 % |
| 8/1/1968 | 2.5 % |
| 9/1/1968 | 1.4 % |
| 10/1/1968 | 2.2 % |
| 11/1/1968 | 1.4 % |
| 1/1/1969 | 2.9 % |
| 3/1/1969 | 3.7 % |
| 4/1/1969 | 0.1 % |
| 5/1/1969 | 0.7 % |
| 7/1/1969 | 1.4 % |
| 9/1/1969 | 1.8 % |
| 2/1/1970 | 1.6 % |
| 3/1/1970 | 3.2 % |
| 6/1/1970 | 1.5 % |
| 7/1/1970 | 0.7 % |
| 8/1/1970 | 0.2 % |
| 10/1/1970 | 1.7 % |
| 11/1/1970 | 2.9 % |
| 12/1/1970 | 3.4 % |
| 2/1/1971 | 1.3 % |
| 3/1/1971 | 2.2 % |
| 4/1/1971 | 3.3 % |
| 5/1/1971 | 0.8 % |
| 6/1/1971 | 1.1 % |
| 7/1/1971 | 2.1 % |
| 10/1/1971 | 2.5 % |
| 11/1/1971 | 0.9 % |
| 12/1/1971 | 0.4 % |
| 1/1/1972 | 3.6 % |
| 3/1/1972 | 5.1 % |
| 5/1/1972 | 0.4 % |
| 6/1/1972 | 0.5 % |
| 8/1/1972 | 1.6 % |
| 9/1/1972 | 1.4 % |
| 10/1/1972 | 2.2 % |
| 11/1/1972 | 0.5 % |
| 12/1/1972 | 2.8 % |
| 1/1/1973 | 1.5 % |
| 2/1/1973 | 0.4 % |
| 3/1/1973 | 2.6 % |
| 7/1/1973 | 1.1 % |
| 8/1/1973 | 0.5 % |
| 9/1/1973 | 0.1 % |
| 2/1/1974 | 2.7 % |
| 4/1/1974 | 0.6 % |
| 7/1/1974 | 0.9 % |
| 10/1/1974 | 0.5 % |
| 12/1/1974 | 0.3 % |
| 1/1/1975 | 4.1 % |
| 4/1/1975 | 2.4 % |
| 5/1/1975 | 0.9 % |
| 7/1/1975 | 2 % |
| 8/1/1975 | 0.6 % |
| 9/1/1975 | 2.1 % |
| 10/1/1975 | 0.7 % |
| 11/1/1975 | 1.7 % |
| 12/1/1975 | 1.6 % |
| 1/1/1976 | 4.1 % |
| 2/1/1976 | 0.2 % |
| 3/1/1976 | 3.2 % |
| 5/1/1976 | 0.3 % |
| 6/1/1976 | 0.1 % |
| 8/1/1976 | 0.5 % |
| 9/1/1976 | 0.3 % |
| 10/1/1976 | 2.6 % |
| 11/1/1976 | 3.6 % |
| 12/1/1976 | 2.4 % |
| 2/1/1977 | 2.3 % |
| 3/1/1977 | 2.8 % |
| 4/1/1977 | 3.8 % |
| 5/1/1977 | 1.8 % |
| 6/1/1977 | 1.4 % |
| 7/1/1977 | 0.7 % |
| 8/1/1977 | 0.3 % |
| 9/1/1977 | 1.3 % |
| 11/1/1977 | 0.8 % |
| 1/1/1978 | 0.9 % |
| 2/1/1978 | 0.7 % |
| 3/1/1978 | 3.7 % |
| 4/1/1978 | 5.9 % |
| 5/1/1978 | 2.4 % |
| 6/1/1978 | 2.2 % |
| 7/1/1978 | 2.3 % |
| 8/1/1978 | 1.1 % |
| 9/1/1978 | 1.4 % |
| 10/1/1978 | 0.2 % |
| 11/1/1978 | 1.1 % |
| 12/1/1978 | 1.2 % |
| 3/1/1979 | 3.1 % |
| 4/1/1979 | 0.7 % |
| 5/1/1979 | 3.4 % |
| 6/1/1979 | 1.7 % |
| 7/1/1979 | 2.2 % |
| 8/1/1979 | 0.4 % |
| 9/1/1979 | 1.1 % |
| 10/1/1979 | 1.9 % |
| 12/1/1979 | 0.7 % |
| 1/1/1980 | 3.1 % |
| 8/1/1980 | 1.6 % |
| 9/1/1980 | 1.8 % |
| 10/1/1980 | 1.9 % |
| 11/1/1980 | 2.7 % |
| 12/1/1980 | 3.8 % |
| 1/1/1981 | 3.5 % |
| 7/1/1981 | 0.3 % |
| 2/1/1982 | 1.6 % |
| 3/1/1982 | 0.5 % |
| 6/1/1982 | 1.6 % |
| 8/1/1982 | 1 % |
| 10/1/1982 | 1.8 % |
| 11/1/1982 | 1.5 % |
| 1/1/1983 | 3.8 % |
| 4/1/1983 | 1.2 % |
| 5/1/1983 | 2.7 % |
| 6/1/1983 | 3.1 % |
| 7/1/1983 | 2 % |
| 8/1/1983 | 1.9 % |
| 9/1/1983 | 0.5 % |
| 10/1/1983 | 0.5 % |
| 11/1/1983 | 2.5 % |
| 12/1/1983 | 1.2 % |
| 1/1/1984 | 0.3 % |
| 2/1/1984 | 4.2 % |
| 3/1/1984 | 1.4 % |
| 4/1/1984 | 0.3 % |
| 5/1/1984 | 2.5 % |
| 6/1/1984 | 1.6 % |
| 7/1/1984 | 0.1 % |
| 8/1/1984 | 0.3 % |
| 9/1/1984 | 1.3 % |
| 10/1/1984 | 1.1 % |
| 12/1/1984 | 1 % |
| 1/1/1985 | 1.2 % |
| 2/1/1985 | 0.3 % |
| 3/1/1985 | 1.6 % |
| 5/1/1985 | 1.3 % |
| 6/1/1985 | 0.1 % |
| 8/1/1985 | 0.1 % |
| 9/1/1985 | 1.3 % |
| 10/1/1985 | 0.2 % |
| 11/1/1985 | 0.9 % |
| 12/1/1985 | 2.2 % |
| 1/1/1986 | 1.5 % |
| 2/1/1986 | 0.9 % |
| 4/1/1986 | 1.5 % |
| 5/1/1986 | 0.1 % |
| 6/1/1986 | 0.6 % |
| 7/1/1986 | 0.7 % |
| 9/1/1986 | 0.2 % |
| 10/1/1986 | 1.4 % |
| 1/1/1987 | 0.3 % |
| 2/1/1987 | 1 % |
| 4/1/1987 | 0.9 % |
| 5/1/1987 | 1.3 % |
| 7/1/1987 | 1.5 % |
| 8/1/1987 | 0.4 % |
| 9/1/1987 | 1.2 % |
| 10/1/1987 | 0.3 % |
| 11/1/1987 | 1.3 % |
| 3/1/1988 | 3.3 % |
| 5/1/1988 | 0.6 % |
| 7/1/1988 | 0.3 % |
| 10/1/1988 | 1.2 % |
| 11/1/1988 | 0.5 % |
| 12/1/1988 | 2.4 % |
| 1/1/1989 | 0.7 % |
| 4/1/1989 | 0.6 % |
| 5/1/1989 | 0.7 % |
| 7/1/1989 | 0.5 % |
| 8/1/1989 | 0.3 % |
| 9/1/1989 | 0.4 % |
| 11/1/1989 | 1.3 % |
| 1/1/1990 | 2.1 % |
| 2/1/1990 | 2.2 % |
| 7/1/1990 | 0.9 % |
| 2/1/1991 | 1.6 % |
| 4/1/1991 | 1.7 % |
| 6/1/1991 | 0.2 % |
| 7/1/1991 | 0.2 % |
| 8/1/1991 | 2.2 % |
| 10/1/1991 | 0.8 % |
| 1/1/1992 | 1.9 % |
| 2/1/1992 | 1.3 % |
| 3/1/1992 | 3.4 % |
| 5/1/1992 | 1 % |
| 7/1/1992 | 0.2 % |
| 9/1/1992 | 1.2 % |
| 10/1/1992 | 1.6 % |
| 12/1/1992 | 1.4 % |
| 2/1/1993 | 1.1 % |
| 4/1/1993 | 2.4 % |
| 6/1/1993 | 2.4 % |
| 7/1/1993 | 0.7 % |
| 8/1/1993 | 1.6 % |
| 9/1/1993 | 1.2 % |
| 11/1/1993 | 4.7 % |
| 12/1/1993 | 3.3 % |
| 3/1/1994 | 1.5 % |
| 4/1/1994 | 1.3 % |
| 5/1/1994 | 0.8 % |
| 6/1/1994 | 0.7 % |
| 7/1/1994 | 0.2 % |
| 8/1/1994 | 0.1 % |
| 11/1/1994 | 1.1 % |
| 12/1/1994 | 0.5 % |
| 1/1/1995 | 0.4 % |
| 3/1/1995 | 0.9 % |
| 4/1/1995 | 0.1 % |
| 6/1/1995 | 0.7 % |
| 7/1/1995 | 0.2 % |
| 8/1/1995 | 0.7 % |
| 9/1/1995 | 0.5 % |
| 10/1/1995 | 0.2 % |
| 11/1/1995 | 0.4 % |
| 12/1/1995 | 0.1 % |
| 1/1/1996 | 3.1 % |
| 3/1/1996 | 1.1 % |
| 4/1/1996 | 2.8 % |
| 5/1/1996 | 1.6 % |
| 6/1/1996 | 0.3 % |
| 8/1/1996 | 0.7 % |
| 9/1/1996 | 1.9 % |
| 10/1/1996 | 1 % |
| 1/1/1997 | 0.4 % |
| 2/1/1997 | 1.1 % |
| 3/1/1997 | 0.8 % |
| 5/1/1997 | 1.4 % |
| 6/1/1997 | 0.3 % |
| 7/1/1997 | 1.8 % |
| 8/1/1997 | 0.3 % |
| 9/1/1997 | 1.1 % |
| 10/1/1997 | 1 % |
| 1/1/1998 | 0.6 % |
| 2/1/1998 | 0.4 % |
| 3/1/1998 | 2.9 % |
| 4/1/1998 | 1.1 % |
| 6/1/1998 | 4.3 % |
| 8/1/1998 | 0.2 % |
| 9/1/1998 | 1.3 % |
| 10/1/1998 | 0.1 % |
| 1/1/1999 | 0.3 % |
| 2/1/1999 | 2.5 % |
| 3/1/1999 | 1.5 % |
| 6/1/1999 | 1.6 % |
| 7/1/1999 | 0.9 % |
| 9/1/1999 | 1.3 % |
| 10/1/1999 | 1.1 % |
| 11/1/1999 | 2.8 % |
| 12/1/1999 | 1.1 % |
| 2/1/2000 | 1.1 % |
| 3/1/2000 | 2 % |
| 8/1/2000 | 2.7 % |
| 9/1/2000 | 1.1 % |
| 10/1/2000 | 0.2 % |
| 11/1/2000 | 0.5 % |
| 1/1/2001 | 0.4 % |
| 3/1/2001 | 1.8 % |
| 4/1/2001 | 1.7 % |
| 5/1/2001 | 0.7 % |
| 6/1/2001 | 0.9 % |
| 10/1/2001 | 1 % |
| 12/1/2001 | 0.7 % |
| 1/1/2002 | 1.1 % |
| 2/1/2002 | 0.4 % |
| 4/1/2002 | 1.6 % |
| 10/1/2002 | 0.9 % |
| 11/1/2002 | 0.6 % |
| 12/1/2002 | 1.3 % |
| 1/1/2003 | 0.9 % |
| 4/1/2003 | 1 % |
| 5/1/2003 | 0.9 % |
| 6/1/2003 | 1.6 % |
| 7/1/2003 | 1.2 % |
| 8/1/2003 | 1.2 % |
| 9/1/2003 | 1.1 % |
| 10/1/2003 | 1.6 % |
| 12/1/2003 | 2.4 % |
| 3/1/2004 | 2.5 % |
| 4/1/2004 | 0.7 % |
| 5/1/2004 | 0.7 % |
| 6/1/2004 | 0.9 % |
| 7/1/2004 | 2.3 % |
| 8/1/2004 | 0.7 % |
| 10/1/2004 | 0.4 % |
| 11/1/2004 | 0.7 % |
| 12/1/2004 | 1.4 % |
| 1/1/2005 | 0.8 % |
| 2/1/2005 | 2 % |
| 3/1/2005 | 0.5 % |
| 4/1/2005 | 0.9 % |
| 5/1/2005 | 1.1 % |
| 6/1/2005 | 1.1 % |
| 7/1/2005 | 1.2 % |
| 8/1/2005 | 0.9 % |
| 9/1/2005 | 1.7 % |
| 10/1/2005 | 1.1 % |
| 11/1/2005 | 1 % |
| 12/1/2005 | 1.1 % |
| 1/1/2006 | 0.9 % |
| 2/1/2006 | 0.8 % |
| 12/1/2006 | 1.2 % |
| 1/1/2007 | 0.2 % |
| 2/1/2007 | 0.1 % |
| 3/1/2007 | 0.7 % |
| 4/1/2007 | 0.3 % |
| 5/1/2007 | 1 % |
| 6/1/2007 | 0.2 % |
| 8/1/2007 | 0.3 % |
| 3/1/2008 | 0.6 % |
| 3/1/2010 | 0.9 % |
| 4/1/2010 | 1 % |
| 8/1/2010 | 0.3 % |
| 9/1/2010 | 0.7 % |
| 11/1/2010 | 0.3 % |
| 3/1/2011 | 1.4 % |
| 5/1/2011 | 0.8 % |
| 6/1/2011 | 2.5 % |
| 8/1/2011 | 2.5 % |
| 9/1/2011 | 0.2 % |
| 11/1/2011 | 0.5 % |
| 12/1/2011 | 1.1 % |
| 1/1/2012 | 1.1 % |
| 3/1/2012 | 0.6 % |
| 4/1/2012 | 1.5 % |
| 5/1/2012 | 1.1 % |
| 6/1/2012 | 0.8 % |
| 7/1/2012 | 0.1 % |
| 8/1/2012 | 0.4 % |
| 9/1/2012 | 0.4 % |
| 10/1/2012 | 1 % |
| 2/1/2013 | 1.3 % |
| 4/1/2013 | 1.8 % |
| 5/1/2013 | 1 % |
| 6/1/2013 | 1.2 % |
| 7/1/2013 | 2.1 % |
| 8/1/2013 | 1.2 % |
| 9/1/2013 | 1 % |
| 10/1/2013 | 1.4 % |
| 11/1/2013 | 1.4 % |
| 12/1/2013 | 1.6 % |
| 1/1/2014 | 0.8 % |
| 2/1/2014 | 0.1 % |
| 3/1/2014 | 0.4 % |
| 4/1/2014 | 1.6 % |
| 7/1/2014 | 0.8 % |
| 9/1/2014 | 0.7 % |
| 10/1/2014 | 2.4 % |
| 12/1/2014 | 1.1 % |
| 1/1/2015 | 0.5 % |
| 2/1/2015 | 1.1 % |
| 3/1/2015 | 1.3 % |
| 4/1/2015 | 2.7 % |
| 5/1/2015 | 1.8 % |
| 6/1/2015 | 2 % |
| 8/1/2015 | 0.9 % |
| 12/1/2015 | 0.9 % |
| 1/1/2016 | 0.4 % |
| 2/1/2016 | 1 % |
| 3/1/2016 | 1.4 % |
| 5/1/2016 | 0.4 % |
| 6/1/2016 | 2.3 % |
| 8/1/2016 | 0.6 % |
| 9/1/2016 | 0.9 % |
| 10/1/2016 | 0.7 % |
| 11/1/2016 | 1.9 % |
| 12/1/2016 | 0.4 % |
| 2/1/2017 | 1.7 % |
| 5/1/2017 | 1.1 % |
| 9/1/2017 | 0.5 % |
| 10/1/2017 | 0.2 % |
| 11/1/2017 | 2 % |
| 12/1/2017 | 0.4 % |
| 1/1/2018 | 1.7 % |
| 2/1/2018 | 1.4 % |
| 4/1/2018 | 0.8 % |
| 5/1/2018 | 0.5 % |
| 8/1/2018 | 0.3 % |
| 1/1/2019 | 0.5 % |
| 2/1/2019 | 1.2 % |
| 3/1/2019 | 0.8 % |
| 4/1/2019 | 2.4 % |
| 5/1/2019 | 0.8 % |
| 6/1/2019 | 1.4 % |
| 7/1/2019 | 2 % |
| 8/1/2019 | 1.1 % |
| 9/1/2019 | 0.8 % |
| 10/1/2019 | 0.3 % |
| 11/1/2019 | 1.4 % |
| 12/1/2019 | 0.2 % |
| 1/1/2020 | 1.9 % |
| 2/1/2020 | 0.5 % |
| 3/1/2020 | 0.3 % |
| 6/1/2020 | 0.5 % |
| 7/1/2020 | 0.8 % |
| 8/1/2020 | 1.3 % |
| 9/1/2020 | 1.4 % |
| 10/1/2020 | 1.6 % |
| 11/1/2020 | 1 % |
| 12/1/2020 | 1.4 % |
| 1/1/2021 | 2.1 % |
| 3/1/2021 | 1.8 % |
| 4/1/2021 | 0.2 % |
| 5/1/2021 | 0.8 % |
| 6/1/2021 | 0.7 % |
| 7/1/2021 | 1.1 % |
| 8/1/2021 | 0.5 % |
| 10/1/2021 | 1.1 % |
| 11/1/2021 | 2.5 % |
| 12/1/2021 | 1.6 % |
| 1/1/2022 | 2.4 % |
| 2/1/2022 | 2.3 % |
| 3/1/2022 | 1.4 % |
| 4/1/2022 | 2.1 % |
| 5/1/2022 | 0.6 % |
| 7/1/2022 | 0.4 % |
| 11/1/2022 | 0.3 % |
| 12/1/2022 | 0.5 % |
| 1/1/2023 | 0.5 % |
| 2/1/2023 | 0.4 % |
| 3/1/2023 | 0.6 % |
| 4/1/2023 | 0.3 % |
| 5/1/2023 | 2 % |
| 6/1/2023 | 0.6 % |
| 7/1/2023 | 0.2 % |
| 8/1/2023 | 1 % |
| 9/1/2023 | 0.4 % |
| 10/1/2023 | 0.8 % |
| 11/1/2023 | 0.9 % |
| 12/1/2023 | 0.5 % |
| 1/1/2024 | 1 % |
| 2/1/2024 | 0.5 % |
| 3/1/2024 | 0.1 % |
Construction Spending History
| Date | Value |
|---|---|
| 3/1/2024 | 0.1 % |
| 2/1/2024 | 0.5 % |
| 1/1/2024 | 1 % |
| 12/1/2023 | 0.5 % |
| 11/1/2023 | 0.9 % |
| 10/1/2023 | 0.8 % |
| 9/1/2023 | 0.4 % |
| 8/1/2023 | 1 % |
| 7/1/2023 | 0.2 % |
| 6/1/2023 | 0.6 % |
Similar Macro Indicators to Construction Spending
| Name | Current | Previous | Frequency |
|---|---|---|---|
🇺🇸 15-Year Mortgage Rate | 5.16 % | 5.15 % | frequency_weekly |
🇺🇸 30-Year Mortgage Rate | 6.86 % | 6.87 % | frequency_weekly |
🇺🇸 Average House Prices | 514,800 USD | 487,200 USD | Monthly |
🇺🇸 Average Mortgage Size | 405,490 USD | 405,400 USD | frequency_weekly |
🇺🇸 Building Permits | 1.47 M | 1.406 M | Monthly |
🇺🇸 Building Permits MoM | 4.6 % | -3.3 % | Monthly |
🇺🇸 Case-Shiller Home Price Index | 333.21 points | 329.95 points | Monthly |
🇺🇸 Case-Shiller Home Price Index MoM | 1.4 % | 1.6 % | Monthly |
🇺🇸 Case-Shiller Home Price Index YoY | 7.2 % | 7.5 % | Monthly |
🇺🇸 Existing Home Sales | 3.86 M | 3.96 M | Monthly |
🇺🇸 Existing Home Sales MoM | -2.5 % | 1.5 % | Monthly |
🇺🇸 Home Price Index MoM | 0 % | 0.3 % | Monthly |
🇺🇸 Homeownership Rate | 65.6 % | 65.7 % | Quarter |
🇺🇸 Housing Index | 424.3 points | 423.3 points | Monthly |
🇺🇸 Housing Price Index YoY | 6.3 % | 6.7 % | Monthly |
🇺🇸 Housing starts | 1.356 M units | 1.237 M units | Monthly |
🇺🇸 Housing Starts MoM | 9.6 % | -6.9 % | Monthly |
🇺🇸 MBA Mortgage Market Index | 212 points | 210.4 points | frequency_weekly |
🇺🇸 MBA Mortgage Refinancing Index | 552.4 points | 552.7 points | frequency_weekly |
🇺🇸 MBA Purchase Index | 148.2 points | 146.1 points | frequency_weekly |
🇺🇸 Mortgage applications | 0.8 % | 0.9 % | frequency_weekly |
🇺🇸 Mortgage Interest Rate | 6.93 % | 6.94 % | frequency_weekly |
🇺🇸 Mortgage Originations | 374.11 B USD | 402.65 B USD | Quarter |
🇺🇸 Multi-family Housing Starts | 278,000 units | 310,000 units | Monthly |
🇺🇸 NAHB Housing Market Index | 42 points | 43 points | Monthly |
🇺🇸 National House Price Index | 320.818 points | 320.324 points | Monthly |
🇺🇸 New Home Sales | 619,000 units | 698,000 units | Monthly |
🇺🇸 New Home Sales MoM | -11.3 % | 2 % | Monthly |
🇺🇸 Pending Home Sales | -6.6 % | -7.4 % | Monthly |
🇺🇸 Pending Home Sales MoM | -2.1 % | -7.7 % | Monthly |
🇺🇸 Price-Rent Ratio | 134.659 | 134.897 | Quarter |
🇺🇸 Residential property prices | 5.3 % | 5.47 % | Quarter |
🇺🇸 Single-family home prices | 422,600 USD | 426,900 USD | Monthly |
🇺🇸 Single-Family Home Starts | 982,000 units | 1.036 M units | Monthly |
🇺🇸 Total Housing stock | 1.33 M | 1.32 M | Monthly |
Construction Spending encompasses monthly estimates of the total dollar value of construction work completed on new structures or improvements to existing structures, across both private and public sectors in the United States. In 2016, private construction spending constituted 75 percent of the overall spending, while public construction accounted for 25 percent. Non-residential construction spending represented 60 percent of the total, with residential construction making up the remaining 40 percent.
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 Construction Spending?
Macroeconomic analysis is a complex field that encompasses various indicators, among which 'Construction Spending' holds significant importance. At Eulerpool, we pride ourselves on offering precise and comprehensive macroeconomic data, and in this context, understanding the nuances of Construction Spending is indispensable for anyone looking to gain insight into the economic vitality of a region or country. Construction Spending, also often referred to as construction outlays or construction expenditures, encapsulates the total dollar value of construction work performed in a given period, typically measured on a monthly, quarterly, or annual basis. This spending is generally categorized into three major sectors: residential, non-residential, and public construction, each of which plays a unique role in the broader macroeconomic landscape. The residential construction sector includes expenditures on single-family homes, multi-family properties, and renovations. This category is pivotal in understanding consumer confidence and trends in the housing market. Fluctuations in residential construction spending often serve as leading indicators of an economy's health. For instance, a surge in residential construction spending suggests an optimistic outlook among consumers and builders regarding future economic conditions. Conversely, a decline could hint at potential economic slowdowns or decreased consumer spending capacity. Non-residential construction spending covers commercial, industrial, healthcare, educational, and other types of construction that do not fall under the residential category. This sector reflects business investments and public infrastructure developments, providing insights into corporate confidence and governmental fiscal policies. For example, an increase in commercial construction spending typically signals robust business activity and expansion, which has a cascading effect on job creation and economic growth. Public construction spending entails infrastructure projects such as roads, bridges, schools, and government buildings. This type of spending is crucial in assessing governmental priorities and fiscal stimulus measures. High levels of public construction spending suggest an active role of the government in stimulating the economy, especially during times of economic downturns. Such spending not only improves public infrastructure but also creates jobs and stimulates demand in various sectors of the economy. At Eulerpool, we meticulously collect and analyze data on Construction Spending to provide our users with accurate and up-to-date information. Our datasets help investors, policymakers, analysts, and other stakeholders make informed decisions. For instance, construction spending data can influence monetary policy decisions by central banks. A spike in construction spending might lead to concerns about inflationary pressures, prompting central banks to consider tightening monetary policies. Conversely, a dip in construction spending may necessitate stimulus measures to invigorate the economy. Furthermore, Construction Spending data has profound implications for the financial markets. Investors closely monitor these figures to gauge the performance of construction-related stocks, real estate investments, and other asset classes. An uptick in construction spending could boost the stocks of construction companies, suppliers of building materials, and other related sectors. In contrast, a downturn might signal potential risks, leading to adjustments in investment strategies. Regional analysis of Construction Spending is equally important. By examining regional spending patterns, one can identify areas of growth and potential investment opportunities. For instance, a significant increase in construction spending in a particular region might indicate economic development, population growth, or favorable business conditions in that area. On the other hand, regions with declining construction spending may need targeted economic interventions to foster growth. The interplay between Construction Spending and other economic indicators also offers valuable insights. For example, examining Construction Spending alongside employment data can reveal the impact of construction activities on job creation. Furthermore, correlating construction expenditures with GDP growth rates provides a comprehensive view of the economy's overall performance. Similarly, analyzing construction spending in relation to interest rates helps understand the effects of monetary policies on the construction sector. In addition to providing raw data, Eulerpool offers in-depth analyses and forecasts of construction spending trends. Our expert team uses advanced econometric models and statistical techniques to project future spending patterns, helping stakeholders prepare for potential economic scenarios. Whether it's anticipating the effects of government infrastructure programs or understanding the implications of housing market dynamics, our forecasts provide crucial guidance for strategic planning and decision-making. Moreover, our platform enables users to customize and visualize Construction Spending data according to their specific needs. With interactive charts and graphs, users can easily track trends, compare regional data, and identify key drivers of construction spending. This level of detail empowers businesses, researchers, and policymakers to derive actionable insights from the data we provide. The importance of Construction Spending extends beyond its immediate economic implications. It also reflects societal trends, demographic shifts, and technological advancements. For example, the rise in green and sustainable building practices highlights the growing emphasis on environmental responsibility in the construction sector. Similarly, advancements in construction technologies, such as modular construction and 3D printing, are reshaping the industry and influencing spending patterns. In conclusion, Construction Spending is a vital macroeconomic indicator that offers a window into the economic health and future trajectory of a country or region. At Eulerpool, we are committed to providing high-quality, accurate, and timely data on construction expenditures to support informed decision-making. Our comprehensive datasets, coupled with expert analyses and interactive tools, enable users to delve deep into the intricacies of construction spending and leverage this information for economic forecasting, investment planning, and policy formulation. By understanding the dynamics of Construction Spending, stakeholders can better navigate the complexities of the macroeconomic environment and contribute to sustainable economic growth.