New Private Housing Units Authorized by Building Permits Columbus OH

Measurement
Units
Indicator Type or Source
Private Indicator
Period End Date
October 1, 2024
Clasification
Private
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
New Private Housing Units Authorized by Building Permits Columbus OH is an economic indicator measured in Units. It covers the period from Tuesday, November 28, 1989, to Tuesday, October 1, 2024, and is updated monthly. Please note, this series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more. The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/COLU139BPPRIV). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator. Please view all Private indicators for more information or continue to All Top Economic Indicators.
Source: Federal Reserve Bank of St. Louis (fred.stlouisfed.org)

35-Year History of New Private Housing Units Authorized by Building Permits Columbus OH

The above interactive chart and the table below show the 35-year history of new private housing units authorized by building permits columbus oh going back to Tuesday, November 28, 1989. The current value is 1,107 which was updated on Tuesday, October 1, 2024. Investors and financial institutions use historical economic data to make decisions about where and when to invest. Understanding the economic indicators can help these stakeholders to assess the risk and potential return of different investment options..
Oct 1, 20241,107  
Sep 1, 2024987.73  
Aug 1, 2024721.34  
Jul 1, 20241,015  
Jun 1, 20241,917  
May 1, 20241,140  
Apr 1, 20241,322  
Mar 1, 2024723.93  
Feb 1, 20241,326  
Jan 1, 20241,258  
Dec 1, 2023821.06  
Nov 1, 2023860.5  
Oct 1, 2023814.02  
Sep 1, 20231,100  
Aug 1, 20231,252  
Jul 1, 2023747.72  
Jun 1, 20231,436  
May 1, 20231,000  
Apr 1, 2023657.29  
Mar 1, 20231,739  
Feb 1, 2023429.63  
Jan 1, 2023522.12  
Dec 1, 2022768.34  
Nov 1, 20221,108  
Oct 1, 20221,133  
Sep 1, 2022859.05  
Aug 1, 2022915.02  
Jul 1, 20221,237  
Jun 1, 2022905.81  
May 1, 2022735.74  
Apr 1, 2022865.03  
Mar 1, 20221,171  
Feb 1, 2022911.6  
Jan 1, 20221,222  
Dec 1, 20211,175  
Nov 1, 20211,127  
Oct 1, 2021824.79  
Sep 1, 2021998.91  
Aug 1, 20211,366  
Jul 1, 2021825.12  
Jun 1, 2021797.39  
May 1, 2021798.69  
Apr 1, 20211,101  
Mar 1, 2021979.83  
Feb 1, 20211,129  
Jan 1, 2021736.53  
Dec 1, 20201,200  
Nov 1, 2020691.88  
Oct 1, 20201,784  
Sep 1, 2020881.62  
Aug 1, 2020488.25  
Jul 1, 2020973.17  
Jun 1, 20201,090  
May 1, 20201,041  
Apr 1, 2020853.45  
Mar 1, 2020639.39  
Feb 1, 2020814.93  
Jan 1, 20201,373  
Dec 1, 2019765.75  
Nov 1, 2019758.61  
Oct 1, 2019491.89  
Sep 1, 2019617.93  
Aug 1, 20191,102  
Jul 1, 2019661.73  
Jun 1, 2019712.88  
May 1, 2019480.99  
Apr 1, 2019450.07  
Mar 1, 2019535.25  
Feb 1, 2019679.59  
Jan 1, 2019525.79  
Dec 1, 2018394.6  
Nov 1, 2018782.81  
Oct 1, 2018715.03  
Sep 1, 2018200.43  
Aug 1, 2018438.26  
Jul 1, 20181,368  
Jun 1, 2018465.1  
May 1, 2018814.6  
Apr 1, 2018662.91  
Mar 1, 2018722.29  
Feb 1, 2018735.57  
Jan 1, 2018750.57  
Dec 1, 2017508.27  
Nov 1, 2017464.27  
Oct 1, 2017697.64  
Sep 1, 2017646.06  
Aug 1, 2017701.45  
Jul 1, 2017559.59  
Jun 1, 20171,465  
May 1, 2017753.27  
Apr 1, 2017575.54  
Mar 1, 2017530.79  
Feb 1, 2017587.2  
Jan 1, 20171,272  
Dec 1, 2016570.24  
Nov 1, 2016612.13  
Oct 1, 2016548.14  
Sep 1, 2016936.73  
Aug 1, 2016687.26  
Jul 1, 2016604.53  
Jun 1, 2016666.72  
May 1, 2016544.4  
Apr 1, 2016896.52  
Mar 1, 2016804.36  
Feb 1, 2016511.61  
Jan 1, 2016523.8  
Dec 1, 2015779.6  
Nov 1, 2015685.9  
Oct 1, 2015823.55  
Sep 1, 2015862.51  
Aug 1, 2015623.12  
Jul 1, 2015573.83  
Jun 1, 2015406.21  
May 1, 2015483.22  
Apr 1, 2015578.52  
Mar 1, 2015550.45  
Feb 1, 2015502.88  
Jan 1, 2015620.15  
Dec 1, 2014570.8  
Nov 1, 2014586.07  
Oct 1, 2014409.27  
Sep 1, 2014400.63  
Aug 1, 2014604.69  
Jul 1, 20141,118  
Jun 1, 2014776.52  
May 1, 2014626.8  
Apr 1, 2014482.14  
Mar 1, 2014550.3  
Feb 1, 2014573.87  
Jan 1, 2014476.17  
Dec 1, 2013686.62  
Nov 1, 2013433.37  
Oct 1, 2013863.18  
Sep 1, 2013812.44  
Aug 1, 2013829.24  
Jul 1, 2013631.02  
Jun 1, 2013570.37  
May 1, 2013697.8  
Apr 1, 20131,085  
Mar 1, 2013275.39  
Feb 1, 2013742.75  
Jan 1, 20131,096  
Dec 1, 2012461.06  
Nov 1, 2012896.06  
Oct 1, 2012503.17  
Sep 1, 2012347.43  
Aug 1, 2012430.74  
Jul 1, 2012739.32  
Jun 1, 2012527.87  
May 1, 2012651.39  
Apr 1, 2012500.95  
Mar 1, 2012421.77  
Feb 1, 2012344.04  
Jan 1, 2012671.66  
Dec 1, 2011749.82  
Nov 1, 2011520.66  
Oct 1, 2011368.06  
Sep 1, 2011363.6  
Aug 1, 2011368.08  
Jul 1, 2011235.25  
Jun 1, 2011448.32  
May 1, 2011353.8  
Apr 1, 2011284.21  
Mar 1, 2011427.14  
Feb 1, 2011481.46  
Jan 1, 2011261.66  
Dec 1, 2010160.63  
Nov 1, 2010236.89  
Oct 1, 2010507.87  
Sep 1, 2010269.17  
Aug 1, 2010249.06  
Jul 1, 2010687.57  
Jun 1, 2010357.11  
May 1, 2010269.4  
Apr 1, 2010473.24  
Mar 1, 2010590.54  
Feb 1, 2010431.71  
Jan 1, 2010481.26  
Dec 1, 2009525.81  
Nov 1, 2009286.95  
Oct 1, 2009243.23  
Sep 1, 2009447.73  
Aug 1, 2009377.89  
Jul 1, 2009277.05  
Jun 1, 2009233.57  
May 1, 2009342.66  
Apr 1, 2009301.83  
Mar 1, 2009213.25  
Feb 1, 2009386.21  
Jan 1, 2009218.84  
Dec 1, 2008338.48  
Nov 1, 2008332.22  
Oct 1, 2008372.9  
Sep 1, 2008391.07  
Aug 1, 2008327.95  
Jul 1, 2008361.62  
Jun 1, 2008332.04  
May 1, 2008326.36  
Apr 1, 2008424.69  
Mar 1, 2008326.4  
Feb 1, 2008380.19  
Jan 1, 2008529.17  
Dec 1, 2007505.62  
Nov 1, 2007555.97  
Oct 1, 2007481.63  
Sep 1, 2007291.81  
Aug 1, 2007533.23  
Jul 1, 2007631.83  
Jun 1, 2007472.27  
May 1, 2007578.96  
Apr 1, 2007342.62  
Mar 1, 2007452.32  
Feb 1, 2007798.22  
Jan 1, 2007594.73  
Dec 1, 2006473.74  
Nov 1, 2006623.92  
Oct 1, 2006391.76  
Sep 1, 2006599.06  
Aug 1, 2006638.23  
Jul 1, 2006656.62  
Jun 1, 2006755.8  
May 1, 2006694.24  
Apr 1, 2006632.67  
Mar 1, 2006835.35  
Feb 1, 2006859.49  
Jan 1, 2006843.02  
Dec 1, 2005837.51  
Nov 1, 20051,209  
Oct 1, 20051,031  
Sep 1, 20051,004  
Aug 1, 20051,074  
Jul 1, 20051,123  
Jun 1, 20051,176  
May 1, 20051,036  
Apr 1, 20051,086  
Mar 1, 20051,103  
Feb 1, 2005992.28  
Jan 1, 2005941.75  
Dec 1, 20041,065  
Nov 1, 20041,056  
Oct 1, 20041,145  
Sep 1, 20041,124  
Aug 1, 20041,171  
Jul 1, 20041,056  
Jun 1, 20041,287  
May 1, 20041,188  
Apr 1, 20041,332  
Mar 1, 20041,368  
Feb 1, 20041,338  
Jan 1, 20041,103  
Dec 1, 20031,534  
Nov 1, 20031,147  
Oct 1, 20031,459  
Sep 1, 20031,554  
Aug 1, 20031,372  
Jul 1, 20031,335  
Jun 1, 20031,379  
May 1, 20031,362  
Apr 1, 20031,477  
Mar 1, 20031,250  
Feb 1, 20031,175  
Jan 1, 20031,321  
Dec 1, 20021,567  
Nov 1, 20021,253  
Oct 1, 20021,348  
Sep 1, 20021,357  
Aug 1, 20021,365  
Jul 1, 20021,379  
Jun 1, 20021,139  
May 1, 20021,400  
Apr 1, 20021,267  
Mar 1, 20021,295  
Feb 1, 20021,344  
Jan 1, 20021,393  
Dec 1, 20011,262  
Nov 1, 20011,358  
Oct 1, 20011,161  
Sep 1, 20011,108  
Aug 1, 20011,298  
Jul 1, 20011,301  
Jun 1, 20011,603  
May 1, 20011,338  
Apr 1, 20011,214  
Mar 1, 20011,324  
Feb 1, 20011,257  
Jan 1, 20011,268  
Dec 1, 2000918.5  
Nov 1, 20001,157  
Oct 1, 20001,275  
Sep 1, 20001,172  
Aug 1, 20001,182  
Jul 1, 20001,250  
Jun 1, 20001,146  
May 1, 20001,222  
Apr 1, 20001,216  
Mar 1, 20001,626  
Feb 1, 20001,323  
Jan 1, 20001,207  
Dec 1, 19991,234  
Nov 1, 19991,339  
Oct 1, 19991,034  
Sep 1, 19991,440  
Aug 1, 19991,251  
Jul 1, 19991,013  
Jun 1, 19991,184  
May 1, 19991,184  
Apr 1, 19991,316  
Mar 1, 19991,084  
Feb 1, 1999978.56  
Jan 1, 1999868.14  
Dec 1, 19981,013  
Nov 1, 1998941.4  
Oct 1, 1998906.14  
Sep 1, 1998950.96  
Aug 1, 1998888.17  
Jul 1, 1998938.16  
Jun 1, 1998938.8  
May 1, 1998903.71  
Apr 1, 1998939.4  
Mar 1, 1998899.22  
Feb 1, 1998990.66  
Jan 1, 19981,008  
Dec 1, 1997890.0  
Nov 1, 1997868.91  
Oct 1, 1997930.69  
Sep 1, 1997938.98  
Aug 1, 1997827.51  
Jul 1, 1997774.72  
Jun 1, 1997750.67  
May 1, 1997828.59  
Apr 1, 1997922.21  
Mar 1, 1997842.18  
Feb 1, 1997934.8  
Jan 1, 1997898.82  
Dec 1, 19961,010  
Nov 1, 19961,236  
Oct 1, 1996957.66  
Sep 1, 1996852.98  
Aug 1, 19961,131  
Jul 1, 1996995.98  
Jun 1, 1996747.31  
May 1, 1996939.53  
Apr 1, 19961,167  
Mar 1, 1996965.13  
Feb 1, 1996981.83  
Jan 1, 19961,049  
Dec 1, 1995729.64  
Nov 1, 1995958.85  
Oct 1, 19951,012  
Sep 1, 1995901.06  
Aug 1, 19951,057  
Jul 1, 1995990.99  
Jun 1, 1995987.19  
May 1, 1995858.75  
Apr 1, 1995844.45  
Mar 1, 1995873.02  
Feb 1, 1995831.03  
Jan 1, 1995868.54  
Dec 1, 1994902.03  
Nov 1, 1994909.67  
Oct 1, 1994904.47  
Sep 1, 1994925.78  
Aug 1, 1994881.28  
Jul 1, 19941,087  
Jun 1, 19941,111  
May 1, 19941,073  
Apr 1, 1994980.75  
Mar 1, 19941,041  
Feb 1, 1994886.21  
Jan 1, 1994876.98  
Dec 1, 1993908.56  
Nov 1, 1993887.86  
Oct 1, 1993841.58  
Sep 1, 1993928.24  
Aug 1, 1993867.84  
Jul 1, 1993773.28  
Jun 1, 1993958.04  
May 1, 1993845.67  
Apr 1, 1993736.53  
Mar 1, 1993827.21  
Feb 1, 1993902.31  
Jan 1, 1993866.53  
Dec 1, 1992832.72  
Nov 1, 1992919.68  
Oct 1, 1992863.27  
Sep 1, 1992919.46  
Aug 1, 1992833.87  
Jul 1, 1992785.64  
Jun 1, 1992764.2  
May 1, 1992844.39  
Apr 1, 1992878.36  
Mar 1, 1992935.42  
Feb 1, 19921,077  
Jan 1, 1992868.82  
Dec 1, 1991862.53  
Nov 1, 1991804.5  
Oct 1, 1991843.03  
Sep 1, 1991667.94  
Aug 1, 1991679.72  
Jul 1, 1991779.3  
Jun 1, 1991675.96  
May 1, 1991710.9  
Apr 1, 1991651.33  
Mar 1, 1991578.91  
Feb 1, 1991662.95  
Jan 1, 1991671.8  
Dec 1, 1990572.61  
Nov 1, 1990622.06  
Oct 1, 1990592.06  
Sep 1, 1990670.87  
Aug 1, 1990740.44  
Jul 1, 1990638.29  
Jun 1, 1990582.69  
May 1, 1990635.97  
Apr 1, 19901,051  
Mar 1, 1990789.62  
Feb 1, 1990827.83  
Jan 1, 19901,345  
Dec 1, 1989764.87  
Nov 1, 1989739.0  
Oct 1, 1989823.08  
Sep 1, 19891,149  
Aug 1, 1989875.86  
Jul 1, 1989608.04  
Jun 1, 1989956.55  
May 1, 1989896.99  
Apr 1, 1989906.1  
Mar 1, 1989865.49  
Feb 1, 1989863.17  
Jan 1, 1989844.88  
Dec 1, 1988995.71  
Nov 1, 19881,242  
Oct 1, 1988998.92  
Sep 1, 1988655.24  
Aug 1, 19881,005  
Jul 1, 19881,038  
Jun 1, 19881,088  
May 1, 19881,073  
Apr 1, 19881,465  
Mar 1, 1988969.63  
Feb 1, 1988884.58  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  
Check out your portfolio center.
Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.

Other Complementary Tools

Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Equity Valuation
Check real value of public entities based on technical and fundamental data
Transaction History
View history of all your transactions and understand their impact on performance
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Bond Analysis
Evaluate and analyze corporate bonds as a potential investment for your portfolios.