Pitney Bowes Software’s Data Analytics Says Houston, Atlanta and Washington DC Will Add the Most New Households in Next Five

  Pitney Bowes Software’s Data Analytics Says Houston, Atlanta and Washington
  DC Will Add the Most New Households in Next Five Years

Business Wire

STAMFORD, Conn. -- November 27, 2012

Houston, Atlanta and the Washington D.C. metropolitan areas are projected to
add the most households in absolute terms over the next five years, according
to new data released today as part of Pitney Bowes Software’s inaugural Metro
Magnets Index. Houston will add 141,000 new households between 2012 and 2017,
with Atlanta adding 106,000 and D.C. adding 84,000.

In relative terms, the major metropolitan areas (defined for these purposes as
having an excess of 100,000 households) projected to see the highest
percentage growth rate through 2017 are Provo/Orem (UT), Austin (TX) and
Killeen/Fort Hood (TX).

Detroit (MI) and Charleston (WV) are the only major metropolitan areas that
can expect to see a decline in the number of households over the next five
years, with Cleveland, OH, expecting just a 0.2% increase.

Growth Across the U.S.

The number of households is projected to grow between 2012 and 2017 in 98% of
U.S. metropolitan areas, according to the new data.

Of the 384 U.S. metropolitan areas analyzed as part of Pitney Bowes Software’s
inaugural Metro Magnets Index, just eight are set to see a decrease in the
number of households. While growth remains, to some degree, almost across the
board, the average annual growth rate for the next five years is projected to
slow in 78 percent of American metropolitan areas when compared to the average
annual growth rate for the years between 2000 and 2010.

“Projected household growth is a critical indicator for the economic prospects
of a specific geographic area, and this data can help real estate, retail and
a range of other businesses, plan their growth strategy scientifically,” said
John O’Hara, President of Pitney Bowes Software. “It is no longer acceptable
to make strategic business decisions on gut feel alone. Given the plethora of
data, and the advanced tools for analyzing it, business leaders can stay ahead
of real estate trends for planning.”

Phoenix, AZ and Riverside, CA, were among the top five growers during
2000-2010, but they are projected to slip to sixth and seventh between 2012
and 2017. The Phoenix area is projected to slow its pace of household change
from an average annual rate of 2.9 percent to 0.9 percent. The Riverside-San
Bernardino area is projected to slow from a 2.5 percent annual pace to a 1.0
percent annual pace.

Washington D.C. and New York, on the other hand, have returned to the top five
metropolitan areas for absolute growth.

Household growth rates are slowing in the Lone Star State along with the
national projections, yet Texas is still one of the fastest growing areas with
five separate metropolitan areas in the Top Ten for projected percentage
increase in the number of households. The Austin, Fort Hood, San Antonio,
Houston and McAllen/Mission metropolitan areas all have projected household
growth rates above 6.6% for the five-year period.

Location Intelligence

Through its location intelligence software products, Pitney Bowes Software
helps organizations to visualize spatial data and understand relationships
between specific locations, thus helping them to make more strategic business
decisions. The MapInfo Professional® product line provides dynamic and
flexible tools to combine location-based data sets with the ability to map and
visualise location-based data. The result is actionable intelligence which can
benefit organisations in a variety of ways: For example, improving operations
(such as site location), improving marketing, understanding risk and strategic
planning.

About the Data

Pitney Bowes Software’s demographic projections combine top-down and bottom-up
phases. The top-down phase develops national, state, and county projections
that become "control totals" for the bottom-up sub-county projections.
Detailed national projections by age, sex, race, and Hispanic origin
complement state and county projections based on county trending from the
Census Bureau. Counties are the building blocks for the Census Bureau’s
Metropolitan Statistical Areas. The bottom-up phase of the projection
methodology begins with Census 2010 block-group level data. The Pitney Bowes
Software data team develops trending models based on historical MicroBuild®
household estimates from The Gadberry Group, a PBS data partner based in
Little Rock, Arkansas.

About Pitney Bowes Software

Pitney Bowes Software provides multi-channel solutions that leverage data to
create relevant dialogue between organizations and their customers. These
solutions enable lifetime customer relationships by integrating data
management, location intelligence, sophisticated predictive analytics,
rules-based decision making and cross-channel customer interaction management
to increase the value of every customer communication while also delivering
operational efficiencies.

Pitney Bowes Software is a wholly-owned subsidiary of Pitney Bowes Inc.
(NYSE:PBI), a customer communications management technology leader. For more
information, please visit www.pb.com/software and www.pb.com.

   
   Top 50 Major* Metro Areas for Projected Percentage Growth
   *More than 100,000 households
                                                                                 
                                                            Projected  Projected Projected
   CBSA Title                                  Households Households absolute  percent
                                                 in 2012    in 2017    change    change
                                                                       2012-2017 2012-2017
1   Provo-Orem, UT                              146,567    157,441    10,874    7.4%
2   Austin-Round Rock-San Marcos, TX            667,168    716,242    49,074    7.4%
3   Killeen-Temple-Fort Hood, TX                145,575    156,043    10,468    7.2%
4   Raleigh-Cary, NC                            441,202    472,777    31,575    7.2%
5   San Antonio-New Braunfels, TX               776,007    831,024    55,017    7.1%
6   Ocala, FL                                   139,664    149,281    9,617     6.9%
7   Houston-Sugar Land-Baytown, TX              2,111,564  2,252,126  140,562   6.7%
8   Jacksonville, FL                            533,509    568,859    35,350    6.6%
9   Charlotte-Gastonia-Rock Hill, NC-SC         683,543    728,538    44,995    6.6%
10  McAllen-Edinburg-Mission, TX                221,596    236,116    14,520    6.6%
11  Durham-Chapel Hill, NC                      206,884    220,290    13,406    6.5%
12  Bakersfield-Delano, CA                      255,261    271,724    16,463    6.4%
13  Myrtle Beach-North Myrtle Beach-Conway, SC  114,222    121,372    7,150     6.3%
14  Colorado Springs, CO                        248,724    264,183    15,459    6.2%
15  Fort Collins-Loveland, CO                   121,699    129,216    7,517     6.2%
16  Fort Worth-Arlington, TX (Metro Division)   785,628    833,991    48,363    6.2%
17  Clarksville, TN-KY                          102,692    108,962    6,270     6.1%
18  Columbia, SC                                298,557    316,723    18,166    6.1%
19  Pensacola-Ferry Pass-Brent, FL              175,954    186,388    10,434    5.9%
20  Reno-Sparks, NV                             166,777    176,609    9,832     5.9%
21  Olympia, WA                                 100,941    106,872    5,931     5.9%
22  Cape Coral-Fort Myers, FL                   262,941    278,347    15,406    5.9%
23  Huntsville, AL                              170,819    180,791    9,972     5.8%
24  Wilmington, NC                              153,811    162,697    8,886     5.8%
25  Orlando-Kissimmee-Sanford, FL               805,796    850,864    45,068    5.6%
26  Ogden-Clearfield, UT                        177,157    186,880    9,723     5.5%
27  Port St. Lucie, FL                          173,318    182,823    9,505     5.5%
28  Tallahassee, FL                             143,727    151,562    7,835     5.5%
29  Nashville-Davidson--Murfreesboro--Franklin, 624,014    657,493    33,479    5.4%
     TN
30  Atlanta-Sandy Springs-Marietta, GA          1,969,898  2,075,415  105,517   5.4%
31  Lubbock, TX                                 108,732    114,494    5,762     5.3%
32  Dallas-Plano-Irving, TX (Metro Division)    1,553,474  1,633,725  80,251    5.2%
33  San Luis Obispo-Paso Robles, CA             102,764    108,022    5,258     5.1%
34  El Paso, TX                                 259,718    272,926    13,208    5.1%
35  Gainesville, FL                             106,644    112,030    5,386     5.1%
36  Washington-Arlington-Alexandria,            1,662,591  1,746,167  83,576    5.0%
     DC-VA-MD-WV (Metro Division)
37  Des Moines-West Des Moines, IA              227,285    238,615    11,330    5.0%
38  Savannah, GA                                135,068    141,772    6,704     5.0%
39  Anchorage, AK                               139,966    146,904    6,938     5.0%
40  Brownsville-Harlingen, TX                   119,937    125,871    5,934     4.9%
41  Charleston-North Charleston-Summerville, SC 264,514    277,533    13,019    4.9%
42  Spokane, WA                                 188,302    197,569    9,267     4.9%
43  Riverside-San Bernardino-Ontario, CA        1,312,345  1,376,890  64,545    4.9%
44  Boise City-Nampa, ID                        226,879    238,028    11,149    4.9%
45  Hagerstown-Martinsburg, MD-WV               103,599    108,643    5,044     4.9%
46  Visalia-Porterville, CA                     131,019    137,389    6,370     4.9%
47  Richmond, VA                                494,986    518,334    23,348    4.7%
48  Las Vegas-Paradise, NV                      711,976    745,470    33,494    4.7%
49  Fayetteville-Springdale-Rogers, AR-MO       176,485    184,782    8,297     4.7%
50  Phoenix-Mesa-Glendale, AZ                   1,561,910  1,634,548  72,638    4.7%
                                                                                 

   
  Top 50 Metro Areas for Projected Absolute Growth
                                                                                 
                                                            Projected  Projected Projected
   CBSA Title                                  Households Households absolute  percent
                                                 in 2012    in 2017    change    change
                                                                       2012-2017 2012-2017
1   Houston-Sugar Land-Baytown, TX              2,111,564  2,252,126  140,562   6.7%
2   Atlanta-Sandy Springs-Marietta, GA          1,969,898  2,075,415  105,517   5.4%
3   Washington-Arlington-Alexandria,            1,662,591  1,746,167  83,576    5.0%
     DC-VA-MD-WV (Metro Division)
4   Dallas-Plano-Irving, TX (Metro Division)    1,553,474  1,633,725  80,251    5.2%
5   New York-White Plains-Wayne, NY-NJ (Metro   4,371,918  4,446,949  75,031    1.7%
     Division)
6   Phoenix-Mesa-Glendale, AZ                   1,561,910  1,634,548  72,638    4.7%
7   Riverside-San Bernardino-Ontario, CA        1,312,345  1,376,890  64,545    4.9%
8   San Antonio-New Braunfels, TX               776,007    831,024    55,017    7.1%
9   Austin-Round Rock-San Marcos, TX            667,168    716,242    49,074    7.4%
10  Fort Worth-Arlington, TX (Metro Division)   785,628    833,991    48,363    6.2%
11  San Diego-Carlsbad-San Marcos, CA           1,090,335  1,138,248  47,913    4.4%
12  Los Angeles-Long Beach-Glendale, CA (Metro  3,221,066  3,268,050  46,984    1.5%
     Division)
13  Orlando-Kissimmee-Sanford, FL               805,796    850,864    45,068    5.6%
14  Charlotte-Gastonia-Rock Hill, NC-SC         683,543    728,538    44,995    6.6%
15  Denver-Aurora-Broomfield, CO                1,015,569  1,056,744  41,175    4.1%
16  Seattle-Bellevue-Everett, WA (Metro         1,068,504  1,108,711  40,207    3.8%
     Division)
17  Tampa-St. Petersburg-Clearwater, FL         1,161,658  1,199,024  37,366    3.2%
18  Minneapolis-St. Paul-Bloomington, MN-WI     1,284,894  1,320,378  35,484    2.8%
19  Jacksonville, FL                            533,509    568,859    35,350    6.6%
20  Sacramento--Arden-Arcade--Roseville, CA     791,879    826,965    35,086    4.4%
21  Portland-Vancouver-Hillsboro, OR-WA         873,480    907,740    34,260    3.9%
22  Chicago-Joliet-Naperville, IL (Metro        2,877,909  2,911,447  33,538    1.2%
     Division)
23  Las Vegas-Paradise, NV                      711,976    745,470    33,494    4.7%
24  Nashville-Davidson--Murfreesboro--Franklin, 624,014    657,493    33,479    5.4%
     TN
25  Raleigh-Cary, NC                            441,202    472,777    31,575    7.2%
26  Philadelphia, PA (Metro Division)           1,538,067  1,569,463  31,396    2.0%
27  Oakland-Fremont-Hayward, CA (Metro          928,246    958,795    30,549    3.3%
     Division)
28  Miami-Miami Beach-Kendall, FL (Metro        882,802    910,348    27,546    3.1%
     Division)
29  Indianapolis-Carmel, IN                     685,856    713,179    27,323    4.0%
30  Columbus, OH                                734,318    761,146    26,828    3.7%
31  Boston-Quincy, MA (Metro Division)          737,964    761,547    23,583    3.2%
32  Richmond, VA                                494,986    518,334    23,348    4.7%
33  Virginia Beach-Norfolk-Newport News, VA-NC  636,585    659,234    22,649    3.6%
34  Kansas City, MO-KS                          803,153    825,336    22,183    2.8%
35  San Jose-Sunnyvale-Santa Clara, CA          623,830    644,782    20,952    3.4%
36  Baltimore-Towson, MD                        1,041,128  1,061,847  20,719    2.0%
37  West Palm Beach-Boca Raton-Boynton Beach,   546,085    566,635    20,550    3.8%
     FL (Metro Division)
38  Oklahoma City, OK                           497,699    517,847    20,148    4.0%
39  Edison-New Brunswick, NJ (Metro Division)   860,340    880,060    19,720    2.3%
40  Santa Ana-Anaheim-Irvine, CA (Metro         996,584    1,015,868  19,284    1.9%
     Division)
41  Cincinnati-Middletown, OH-KY-IN             840,122    859,034    18,912    2.3%
42  St. Louis, MO-IL                            1,119,596  1,138,367  18,771    1.7%
43  Columbia, SC                                298,557    316,723    18,166    6.1%
44  Tucson, AZ                                  386,434    403,932    17,498    4.5%
45  Louisville/Jefferson County, KY-IN          518,480    535,763    17,283    3.3%
46  Fort Lauderdale-Pompano Beach-Deerfield     696,388    712,878    16,490    2.4%
     Beach, FL (Metro Division)
47  Bakersfield-Delano, CA                      255,261    271,724    16,463    6.4%
48  Salt Lake City, UT                          377,450    393,567    16,117    4.3%
49  Colorado Springs, CO                        248,724    264,183    15,459    6.2%
50  Cape Coral-Fort Myers, FL                   262,941    278,347    15,406    5.9%

Contact:

SHIFT Communications
Dominic Weeks, 617-779-1818
pbsoftware@shiftcomm.com
 
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