MG final
Priv-Res SA
| Value of Private Residential Construction Put in Place excluding rental, vacant, and seasonal residential improvements - Seasonally Adjusted Annual Rate | ||||||||||||
| (Millions of Dollars) | ||||||||||||
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
| 1993 | 194,150 | 194,689 | 190,185 | 198,296 | 198,835 | 203,175 | 208,760 | 212,238 | 214,446 | 214,778 | 227,235 | 235,648 |
| 1994 | 238,612 | 236,577 | 235,150 | 244,746 | 244,056 | 244,032 | 245,463 | 243,134 | 242,619 | 234,905 | 239,857 | 241,395 |
| 1995 | 241,184 | 234,257 | 228,013 | 225,488 | 222,062 | 218,972 | 224,113 | 226,045 | 228,688 | 227,589 | 231,913 | 235,572 |
| 1996 | 240,958 | 243,695 | 249,952 | 252,836 | 259,296 | 263,085 | 263,549 | 263,618 | 265,677 | 261,444 | 259,668 | 253,234 |
| 1997 | 255,365 | 258,595 | 264,566 | 257,490 | 264,581 | 262,299 | 261,593 | 263,951 | 270,511 | 272,980 | 272,786 | 269,192 |
| 1998 | 276,485 | 279,249 | 291,505 | 288,409 | 292,879 | 296,632 | 296,717 | 299,495 | 305,345 | 308,127 | 307,899 | 302,650 |
| 1999 | 305,968 | 307,914 | 316,822 | 316,111 | 320,326 | 322,905 | 320,854 | 326,779 | 334,947 | 342,423 | 348,035 | 346,989 |
| 2000 | 353,065 | 351,933 | 353,452 | 356,188 | 349,907 | 348,133 | 337,374 | 337,583 | 339,048 | 344,095 | 347,301 | 344,139 |
| 2001 | 348,279 | 353,629 | 350,029 | 361,991 | 360,534 | 365,905 | 366,500 | 369,000 | 368,809 | 370,957 | 375,803 | 376,279 |
| 2002 | 377,631 | 385,745 | 385,406 | 398,990 | 394,223 | 401,920 | 404,632 | 398,875 | 394,820 | 397,077 | 401,424 | 411,758 |
| 2003 | 417,788 | 417,500 | 413,303 | 420,510 | 421,143 | 430,929 | 448,917 | 453,031 | 458,676 | 469,855 | 485,245 | 503,356 |
| 2004 | 498,640 | 500,439 | 506,879 | 512,400 | 522,534 | 527,794 | 543,260 | 551,447 | 546,306 | 551,137 | 550,392 | 566,284 |
| 2005 | 575,650 | 588,435 | 591,580 | 598,335 | 603,707 | 616,958 | 628,750 | 633,710 | 647,374 | 658,590 | 665,376 | 670,522 |
| 2006 | 675,679 | 678,562 | 668,311 | 650,388 | 633,815 | 615,053 | 598,487 | 584,460 | 573,878 | 561,444 | 548,971 | 545,011 |
| 2007 | 537,571 | 531,641 | 527,865 | 523,666 | 514,131 | 505,936 | 495,976 | 480,974 | 465,709 | 447,819 | 431,878 | 416,486 |
| 2008 | 402,138 | 386,197 | 390,471 | 385,328 | 381,911 | 374,495 | 364,873 | 352,598 | 340,396 | 329,304 | 312,540 | 293,997 |
| 2009 | 283,870 | 267,938 | 254,645 | 243,958 | 237,188 | 237,343 | 244,141 | 250,768 | 254,135 | 254,942 | 255,941 | 255,801 |
| 2010 | 254,826 | 255,121 | 253,924 | 254,574 | 252,896 | 250,518 | 244,354 | 238,695 | 237,834 | 236,512 | 237,468 | 239,030 |
| 2011 | 240,548 | 240,062 | 241,586 | 244,598 | 245,449 | 247,520 | 249,770 | 251,877 | 250,152 | 252,821 | 247,279 | 247,983 |
| 2012 | 251,869 | 247,503 | 252,283 | 258,567 | 263,797 | 269,664 | 273,587 | 279,216 | 286,120 | 294,197 | 296,510 | 299,101 |
| 2013 | 303,792 | 309,078 | 312,083 | 316,537 | 321,706 | 324,770 | 328,388 | 335,690 | 339,977 | 346,273 | 353,317 | 360,754 |
| 2014 | 368,359 | 363,860 | 369,329 | 375,347 | 376,671 | 372,569 | 372,572 | 372,893 | 382,053 | 386,299 | 391,521 | 401,584 |
| 2015r | 405,105 | 410,055 | 409,845 | 415,034 | 422,979 | 433,746 | 439,819 | 439,616 | 448,021 | 448,256 | 446,990 | 452,947 |
| 2016r | 456,427 | 462,338 | 469,444 | 468,579 | 469,095 | 474,679 | 477,138 | 481,080 | 482,889 | 496,331 | 504,423 | 512,006 |
| 2017r | 510,854 | 531,426 | 526,669 | 533,586 | 536,756 | 537,034 | 542,342 | 542,135 | 544,226 | 537,894 | 561,466 | 564,275 |
| 2018r | 570,597 | 576,567 | 571,961 | 574,593 | 578,615 | 570,521 | 560,485 | 550,313 | 550,704 | 535,314 | 537,537 | 517,562 |
| 2019r | 516,899 | 516,346 | 517,654 | 523,932 | 531,954 | 542,612 | 554,234 | 558,908 | 561,924 | 564,734 | 577,566 | 583,160 |
| 2020r | 596,265 | 607,522 | 617,990 | 599,184 | 591,253 | 593,464 | 614,353 | 638,430 | 657,613 | 677,725 | 697,825 | 719,089 |
| 2021r | 734,961 | 738,572 | 757,841 | 770,734 | 788,401 | 799,279 | 806,484 | 811,497 | 814,272 | 816,908 | 824,006 | 842,949 |
| 2022r | 881,907 | 903,400 | 920,041 | 935,913 | 938,198 | |||||||
| Instructions: | ||||||||||||
| Business Analytics Course/Project 1. Given the available data above, build a model using excel tool/functions, including graphs, charts, pivot tables to determine or estimate the sales prices of single-family new homes in 2023. What will be cost of down payment at minimum rate of 20%? Should potential single-family homebuyers buy now or buy in 2023? Why and/or why not? 2. Prepare a report of not more than a page to explain your model/analysis. |