Chat with us, powered by LiveChat Housing Permits, Housing Starts, Housing Construction and Government Revenue You will notice that the readings (well there are some data sites and some charts and graphs) cov | Wridemy

Housing Permits, Housing Starts, Housing Construction and Government Revenue You will notice that the readings (well there are some data sites and some charts and graphs) cov

 Housing Permits, Housing Starts, Housing Construction and Government Revenue

You will notice that the readings (well there are some data sites and some charts and graphs) cover a variety of topics—well it seems that way but not really so. What you are going to do a
forecasting the near-time future for revenue collection coming into primarily local governments but also state governments as a result of how you are looking at the housing market. In the case of the readings I have given you, you will notice some address housing permits, some address housing starts (or construction). Local governments, in particular, pay attention to these things because they are trying to project future revenue (property taxes) that will collect. Several years back I was going over the housing permits that were issued for St. Louis County and a local government official was noticing that the vast majority of the housing permits were for construction west of Lindbergh, not East (in fact, Chesterfield and around there). So, from that data you could begin to make some projections about what that meant to which local governments within the county. I went over similar housing permits issued in Saint Charles County and a local government official was noticing the number of permits for housing construction in
the “high-end” market. Both of these conversations were some years before the onset of the Great
Recession we see beginning in 2009. But, you start to get the idea that data about housing permits, when construction will begin, the types of homes to be built are closely followed regarding their impact on projecting revenue to be collected.  

GUIDELINES FOR THIS ASSIGNMENT  
1)  minimum of five  .  
2)  discuss various charts, graphs, data (notice I gave you links to US Census Bureau sites). You want to show how you use data to draw conclusions about government revenue to be collected.  
3) In addition , housing construction affects other policy areas (besides revenue to be, hopefully, collected). Housing affects traffic congestion, schools to be built, the need for new fire stations, or police stations and other policy areas. So while I have you primarily focusing on housing permits, housing construction and government revenue, be aware in your about other policy areas that will be impacted.  
4) Here you are—forecasting. Notice, where and how you use information to look into the future (usually not too far into the future).

 US CENSUS BUREAU ON CHARACTERISTICS OF NEW HOUSING:
http://www.census.gov/construction/chars/highlights.html  

 US CENSUS BUREAU ON HOUSING PERMITS AND STARTS
This page you use it to look at the period from getting the permits to starting and
completion housing construction:
http://www.census.gov/construction/nrc/lengthoftime.html  

Data Inquiries  Media Inquiries  Economic Indicators Division, Residential Construction Branch  Public Information Office  301‐763‐5160   301‐763‐3030  [email protected]  [email protected]

FOR RELEASE AT 8:30 AM EDT, WEDNESDAY, AUGUST 16, 2017

MONTHLY NEW RESIDENTIAL CONSTRUCTION, JULY 2017

Release Number: CB17-133

August 16, 2017 – The U.S. Census Bureau and the U.S. Department of Housing and Urban Development jointly announced the following new residential construction statistics for July 2017:

NEW RESIDENTIAL CONSTRUCTION

JULY 2017

Building Permits: 1,223,000

Housing Starts: 1,155,000

Housing Completions: 1,175,000

Next Release: September 19, 2017

Seasonally Adjusted Annual Rate Source:  U.S. Census Bureau, HUD, August 16, 2017

Building Permits Privately-owned housing units authorized by building permits in July were at a seasonally adjusted annual rate of 1,223,000. This is 4.1 percent (±0.9 percent) below the revised June rate of 1,275,000, but is 4.1 percent (±1.8 percent) above the July 2016 rate of 1,175,000. Single-family authorizations in July were at a rate of 811,000; this is unchanged from the revised June figure of 811,000. Authorizations of units in buildings with five units or more were at a rate of 377,000 in July.

Housing Starts Privately-owned housing starts in July were at a seasonally adjusted annual rate of 1,155,000. This is 4.8 percent (±10.2 percent)* below the revised June estimate of 1,213,000 and is 5.6 percent (±8.5 percent)* below the July 2016 rate of 1,223,000. Single-family housing starts in July were at a rate of 856,000; this is 0.5 percent (±8.5 percent)* below the revised June figure of 860,000. The July rate for units in buildings with five units or more was 287,000.

Housing Completions Privately-owned housing completions in July were at a seasonally adjusted annual rate of 1,175,000. This is 6.2 percent (±14.3 percent)* below the revised June estimate of 1,252,000, but is 8.2 percent (±12.6 percent)* above the July 2016 rate of 1,086,000. Single-family housing completions in July were at a rate of 814,000; this is 1.6 percent (±11.9 percent)* below the revised June rate of 827,000. The July rate for units in buildings with five units or more was 354,000.

0

300

600

900

1,200

1,500

Jul-12 Jul-13 Jul-14 Jul-15 Jul-16 Jul-17 T

ho us

an ds

o f U

ni ts

New Residential Construction (Seasonally Adjusted Annual Rate)

Permits Starts Completions

Source:  U.S. Census Bureau, HUD, August 16, 2017 

 

Data Inquiries  Media Inquiries  Economic Indicators Division, Residential Construction Branch  Public Information Office  301‐763‐5160   301‐763‐3030  [email protected]   

[email protected]

 

 

The August report is scheduled for release on September 19, 2017. View the full schedule in the Economic Briefing Room: <www.census.gov/economic-indicators/>. The full text and tables for this release can be found at <www.census.gov/construction/nrc/>.

EXPLANATORY NOTES

In interpreting changes in the statistics in this release, note that month-to-month changes in seasonally adjusted statistics often show movements which may be irregular. It may take three months to establish an underlying trend for building permit authorizations, six months for total starts, and five months for total completions. The statistics in this release are estimated from sample surveys and are subject to sampling variability as well as nonsampling error including bias and variance from response, nonreporting, and undercoverage. Estimated relative standard errors of the most recent data are shown in the tables. Whenever a statement such as “2.5 percent (±3.2 percent) above” appears in the text, this indicates the range (-0.7 to +5.7 percent) in which the actual percentage change is likely to have occurred. All ranges given for percentage changes are 90 percent confidence intervals and account only for sampling variability. If a range does not contain zero, the change is statistically significant. If it does contain zero, the change is not statistically significant; that is, it is uncertain whether there was an increase or decrease. The same policies apply to the confidence intervals for percentage changes shown in the tables. On average, the preliminary seasonally adjusted estimates of total building permits, housing starts and housing completions are revised 2 percent or less. Explanations of confidence intervals and sampling variability can be found on our website. <www.census.gov/construction/nrc/how_the_data_are_collected/ >

America’s Economy Mobile App The America’s Economy app provides real-time updates for 19 key economic indicators released from the Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis. <www.census.gov/mobile/economy/>

API The Census Bureau’s application programming interface lets developers create custom apps to reach new users and makes key demographic, socio-economic and housing statistics more accessible than ever before. <www.census.gov/developers/>

‐X‐ 

* The 90 percent confidence interval includes zero. In such cases, there is insufficient statistical evidence to conclude that the actual change is different from zero. 

New Privately‐Owned Housing Units Authorized in Permit‐Issuing Places (Thousands of Units.  Detail may not add to total because of rounding.)

Table 1a ‐ Seasonally adjusted annual rate

Total 1 unit

2 to 4 

units

5 units

 or more Total 1 unit Total 1 unit Total 1 unit Total 1 unit

2016 July . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  1,175       718          30            427        106        51           188        106        605          395          276        166        August . . . . . . . . . . . . . . . . . . . . . . . . . . . .  1,200       743          36            421        117        53           192        112        606          407          285        171        September . . . . . . . . . . . . . . . . . . . . . . . . . 1,270       749          39            482        142        53           181        113        618          408          329        175        October . . . . . . . . . . . . . . . . . . . . . . . . . . .  1,285       779          32            474        116        59           202        113        616          420          351        187        November . . . . . . . . . . . . . . . . . . . . . . . . .  1,255       786          41            428        119        55           187        120        608          419          341        192        December . . . . . . . . . . . . . . . . . . . . . . . . .  1,266       830          39            397        131        54           187        119        604          452          344        205       

2017 January . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,300       806          29            465        153        59           198        124        653          451          296        172        February . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,219       834          45            340        117        54           247        136        585          448          270        196        March . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,260       826          37            397        136        53           192        128        623          456          309        189        April . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  1,228       794          36            398        120        53           192        124        579          424          337        193        May . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,168       779          32            357        122        52           173        108        579          436          294        183        June (r) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,275       811          35            429        104        57           207        120        622          445          342        189        July (p) . . . . . . . . . . . . . . . . . . . . . . . . . . .  1,223       811          35            377        124        56           171        116        613          452          315        187       

. Average RSE (%) 1  . . . . . . . . . . . . . . . . . . 2              2              6             2            3            5            3            4            2              2             2            3           

Percent Change 2

Jul. 2017 from Jun. 2017 . . . . . . . . . . . . . ‐4.1% 0.0% 0.0% ‐12.1% 19.2% ‐1.8% ‐17.4% ‐3.3% ‐1.4% 1.6% ‐7.9% ‐1.1%

. 90 percent confidence interval 3  . . . . . . ± 0.9  ± 1.1  ± 7.3  ± 2.3  ± 6.9  ± 11.0  ± 2.5  ± 2.2  ± 1.3  ± 1.5  ± 2.1  ± 2.0 

Jul. 2017 from Jul. 2016 . . . . . . . . . . . . .  4.1% 13.0% 16.7% ‐11.7% 17.0% 9.8% ‐9.0% 9.4% 1.3% 14.4% 14.1% 12.7%

. 90 percent confidence interval 3  . . . . . . ± 1.8  ± 2.1  ± 10.9  ± 3.8  ± 5.0  ± 7.4  ± 4.0  ± 2.9  ± 3.2  ± 3.2  ± 2.1  ± 3.2 

Table 1b ‐ Not seasonally adjusted

Total 1 unit

2 to 4 

units

5 units

 or more Total 1 unit Total 1 unit Total 1 unit Total 1 unit

2015 Annual . . . . . . . . . . . . . . . . . . . . . . .  1,182.6    696.0       32.1        454.5     162.0     52.4       170.6     104.7     572.8       378.2       277.2     160.7     2016 Annual . . . . . . . . . . . . . . . . . . . . . . .  1,206.6    750.8       34.8        421.1     116.4     54.3       186.1     112.4     594.5       406.0       309.6     178.1    

. RSE (%) . . . . . . . . . . . . . . . . . . . . . . . . . . .  X X X X X X X X X X X X

2016 Year to date . . . . . . . . . . . . . . . . . . .  688.1       439.1       19.0        230.0     63.4       30.7       104.0     65.8       347.5       238.9       173.2     103.7     2017 Year to date . . . . . . . . . . . . . . . . . . .  732.5       487.2       20.2        225.0     70.1       32.0       108.9     70.7       366.4       270.0       187.1     114.5    

. RSE (%) . . . . . . . . . . . . . . . . . . . . . . . . . . .  1              2              4             1            2            4            3            3            1              2             1            2           

Year to date percent change² . . . . . . . . . 6.5% 11.0% 6.3% ‐2.2% 10.6% 4.2% 4.7% 7.5% 5.4% 13.0% 8.0% 10.4%

. 90 percent confidence interval 3  . . . . . . ± 0.6  ± 0.8  ± 6.5  ± 1.0  ± 2.7  ± 3.8  ± 2.5  ± 2.3  ± 1.1  ± 0.7  ± 0.8  ± 1.8 

2016 July . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  97.9         61.2         2.6           34.1       9.1          4.5          16.6       9.4          49.6         32.8         22.7       14.5       August . . . . . . . . . . . . . . . . . . . . . . . . . . . .  111.6       71.3         3.6           36.8       11.0       5.0          19.4       11.9       55.1         38.3         26.2       16.2       September . . . . . . . . . . . . . . . . . . . . . . . . . 111.7       63.4         3.6           44.6       13.4       5.0          18.4       10.7       51.9         33.6         28.0       14.2       October . . . . . . . . . . . . . . . . . . . . . . . . . . .  104.0       61.6         2.7           39.7       9.5          5.1          18.9       10.1       48.7         32.3         26.9       14.2       November . . . . . . . . . . . . . . . . . . . . . . . . .  94.5         55.9         3.2           35.3       9.6          4.4          14.6       8.8          44.2         29.3         26.1       13.5       December . . . . . . . . . . . . . . . . . . . . . . . . .  94.8         55.5         3.0           36.4       10.5       3.7          11.3       6.5          45.8         31.2         27.2       14.1      

2017 January . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.3         53.6         1.9           31.8       9.6          3.5          10.0       5.7          48.6         33.3         19.2       11.2       February . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.8         57.8         3.0           24.0       6.4          3.0          12.7       7.1          45.8         34.0         19.9       13.6       March . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.5       77.1         3.1           32.3       10.8       4.6          15.9       11.2     &#xA

Our website has a team of professional writers who can help you write any of your homework. They will write your papers from scratch. We also have a team of editors just to make sure all papers are of HIGH QUALITY & PLAGIARISM FREE. To make an Order you only need to click Ask A Question and we will direct you to our Order Page at WriteDemy. Then fill Our Order Form with all your assignment instructions. Select your deadline and pay for your paper. You will get it few hours before your set deadline.

Fill in all the assignment paper details that are required in the order form with the standard information being the page count, deadline, academic level and type of paper. It is advisable to have this information at hand so that you can quickly fill in the necessary information needed in the form for the essay writer to be immediately assigned to your writing project. Make payment for the custom essay order to enable us to assign a suitable writer to your order. Payments are made through Paypal on a secured billing page. Finally, sit back and relax.

Do you need an answer to this or any other questions?

About Wridemy

We are a professional paper writing website. If you have searched a question and bumped into our website just know you are in the right place to get help in your coursework. We offer HIGH QUALITY & PLAGIARISM FREE Papers.

How It Works

To make an Order you only need to click on “Order Now” and we will direct you to our Order Page. Fill Our Order Form with all your assignment instructions. Select your deadline and pay for your paper. You will get it few hours before your set deadline.

Are there Discounts?

All new clients are eligible for 20% off in their first Order. Our payment method is safe and secure.

Hire a tutor today CLICK HERE to make your first order

Related Tags

Academic APA Writing College Course Discussion Management English Finance General Graduate History Information Justify Literature MLA