Trends in the Atlanta Region and Buckhead — Demographics and Growth Seminar –...Livable Buckhead / BATMA
Livable Buckhead, in partnership with The Atlanta Regional Commission (ARC), presented comprehensive demographic and growth trends analysis for the Atlanta Region and Buckhead. ARC Research Division Chief, Mike Alexander, provided information on population growth, employment forecasts, job assessments, housing, transportation and more.
Trends in the Atlanta Region and Buckhead — Demographics and Growth Seminar –...Livable Buckhead / BATMA
Livable Buckhead, in partnership with The Atlanta Regional Commission (ARC), presented comprehensive demographic and growth trends analysis for the Atlanta Region and Buckhead. ARC Research Division Chief, Mike Alexander, provided information on population growth, employment forecasts, job assessments, housing, transportation and more.
Communications Strategies for Water and Sewer Utilities RuebmanNew Jersey Future
An overview of things to keep in mind in order to work successfully with the media and to make sure they tell your stories effectively and consider you a resource and a source of expertise on water and sewer issues.
Thank you so much to all those who attended the 13th annual Smart Growth Awards. We are so proud of our winners, and grateful to our Board of Trustees, sponsors and staff whose hard work made the event possible.
Congratulations to Joseph J. Maraziti Jr. Esq., the recipient of the Cary Edwards Leadership Award, who summed up the purpose of "smart growth" best by quoting Albert Camus: Real generosity towards the future lies in giving all to the present.
There is a significant mismatch in New Jersey between where large numbers of older residents live and which municipalities are most prepared to accommodate them. This report matches every municipality against four age-friendliness indicators, and analyzes the degree to which New Jersey's older residents are living in places that, from a land-use perspective, are not prepared to accommodate their changing needs.
Supporting Priority Investment in Somerset Country Through Access and Mobilit...New Jersey Future
This study highlights how land use changes and transportation improvements could spur successful repositioning of the properties, and is intended to offer guidance to municipalities for analysis of similar underperforming or vacant sites throughout the county or the state.
Suburban poverty affects over 16.4 million people across the U.S. and is growing rapidly, significantly outpacing the growth rate of urban poverty over the last decade (64% vs. 29%). Experts suggest that the problem of suburban poverty is “the new normal.” While the basic needs of the poor in the suburbs are similar to those of the urban poor (e.g. education inequity, poor access to quality healthcare etc.), there are some critical systemic differences (e.g. limited transportation options, jurisdictional challenges etc.). These challenges are further exacerbated by the lack of awareness and understanding of the problem and
potential solutions.
Communications Strategies for Water and Sewer Utilities RuebmanNew Jersey Future
An overview of things to keep in mind in order to work successfully with the media and to make sure they tell your stories effectively and consider you a resource and a source of expertise on water and sewer issues.
Thank you so much to all those who attended the 13th annual Smart Growth Awards. We are so proud of our winners, and grateful to our Board of Trustees, sponsors and staff whose hard work made the event possible.
Congratulations to Joseph J. Maraziti Jr. Esq., the recipient of the Cary Edwards Leadership Award, who summed up the purpose of "smart growth" best by quoting Albert Camus: Real generosity towards the future lies in giving all to the present.
There is a significant mismatch in New Jersey between where large numbers of older residents live and which municipalities are most prepared to accommodate them. This report matches every municipality against four age-friendliness indicators, and analyzes the degree to which New Jersey's older residents are living in places that, from a land-use perspective, are not prepared to accommodate their changing needs.
Supporting Priority Investment in Somerset Country Through Access and Mobilit...New Jersey Future
This study highlights how land use changes and transportation improvements could spur successful repositioning of the properties, and is intended to offer guidance to municipalities for analysis of similar underperforming or vacant sites throughout the county or the state.
Suburban poverty affects over 16.4 million people across the U.S. and is growing rapidly, significantly outpacing the growth rate of urban poverty over the last decade (64% vs. 29%). Experts suggest that the problem of suburban poverty is “the new normal.” While the basic needs of the poor in the suburbs are similar to those of the urban poor (e.g. education inequity, poor access to quality healthcare etc.), there are some critical systemic differences (e.g. limited transportation options, jurisdictional challenges etc.). These challenges are further exacerbated by the lack of awareness and understanding of the problem and
potential solutions.
A great deal of valuable information currently exists on the BC real estate market, however, there are challenges with the current approach. The geographic framework by which this information is viewed is problematic focusing on regional differences instead of provincial commonalities. The BC market is experiencing many different trends such as new dwelling types, alternate ownership models, FSBO and unique behaviours by demographic segments. Understanding these trends is hampered by missing data and an inability to link different data sources for analysis. Furthermore, most of this information is presented through a static geographic lens making it challenging for the ORE audiences to absorb and utilize. A fresh look at the data requirements for the industry will assist planning for the future.
This research report is a part of the British Columbia Real Estate Association's Journey of Discovery. BCREA launched the Journey of Discovery (JOD) to help our organization and BC’s eleven member boards strategically plan for the next five years. This project seeks to understand where the greatest contributions of products and services could be for increasing the innovation of REALTORS® in service of their consumers. If organized real estate is to effectively adapt to and proactively initiate change, which we believe is necessary now more than ever, the first stage is to gain a solid understanding of the current and future states of the industry. For access to the slides with links and our other reports, please visit http://web.bcrea.bc.ca/jod/reports.htm
This presentation was prepared by CE Holmes Consulting, Solvable & Monique Morden Consulting
The Changing Shapeof American CitiesFebruary 2015Luk.docxarnoldmeredith47041
The Changing Shape
of American Cities
February 2015
Luke J. Juday
Demographics Research Group
Weldon Cooper Center for Public Service
University of Virginia
Weldon Cooper Center Demographics Research Group | University of Virginia | coopercenter.org/demographics 2
About this Report
This report describes demographic changes that have taken place in U.S. metropolitan areas since
1990 by looking at the spatial distribution of residents by income, education, age, etc. relative to
the center of the city.
The Demographics Research Group
The Demographics Research Group produces the official annual population estimates for Virginia
and its localities; conducts practical and policy-oriented analysis of census and demographic
survey data under contract; and communicates rigorous research and its policy implications to
the general public, as well as to clients including state and local governments, employers, and
non-profit organizations through meaningful, intuitive publications and presentations.
About the Author
Luke Juday is a Research and Policy Analyst for the Demographics Research Group. He received
his Bachelor’s degree in political science from Grove City College and a Master of Urban and
Environmental Planning from the University of Virginia. His expertise is in mapping and spatial
analysis and he focuses on how demographic trends are related to local government decisions and
metropolitan change. Prior to attending graduate school, he worked as a middle school teacher
and debate coach, and was a Fulbright Scholar in Gaborone, Botswana.
Acknowledgements
Meredith Gunter, Qian Cai, and Amy Muldoon provided tremendous guidance and expert
editing throughout this project. Qian Cai is Director of the Demographics Research Group,
Meredith Gunter is Outreach Director, and Amy Muldoon is Coordinator for the group.
Hamilton Lombard and Annie Rorem provided valuable input and feedback as the project
progressed. Hamilton Lombard is a Research Specialist and Annie Rorem is a Policy Associate
with the Demographics Research Group.
William H. Lucy also took time to read and provide crucial feedback as the report progressed.
William Lucy is the Lawrence Lewis Jr. Chair of Urban and Environmental Planning at the
University of Virginia School of Architecture.
This report is copyright 2015 by the Rector and Visitors of the University of Virginia
Weldon Cooper Center Demographics Research Group | University of Virginia | coopercenter.org/demographics 3
Ring Around the City
The old donut
Metropolitan areas in the United States have changed
significantly since the 1990’s, making the widely-held
conceptual model of cities increasingly inaccurate.
That model has been called “the donut” and looks
something like this:
In the original donut model, a ring of thriving suburbs
surrounds a decaying city center. The suburban ring
is growing and residents are wealthy, educated, and
safe; the city center is poor, minority-dominate.
Wide Open Spaces: Schooling in Rural America TodayJeremy Knight
Fourteen percent of the nation’s population lives in rural communities, and one in five K-12 students attends a rural school — a substantial proportion of America’s school population. Despite increased attention from the national education policy community in recent years, too many rural communities and schools continue to struggle to provide their students with quality educational opportunities. Common approaches to education reform that may work in urban communities often fail to take into account the unique assets and challenges facing rural schools.
“Wide Open Spaces: Schooling in Rural America Today” provides education policymakers with a factbase on America’s rural schools and communities: the economic and academic challenges they face, their unique assets, and opportunities for improvement. This resource highlights some of the challenges facing schools and students, including limited economic opportunity, poor access to healthcare, and social challenges like drug addiction. It also provides an overview of available data on student outcomes, including National Assessment of Educational Progress data and graduation rates. These data reveal that while rural students appear to be doing better on average than students in some other geographies, there are real gaps among subgroups and barriers to postsecondary opportunities that hinder many rural students from achieving their full academic potential.
Even so, rural communities’ assets provide opportunities to create and sustain meaningful change. Compared with other geographies, rural communities tend to place high value on civic and community engagement and support tight-knit networks among residents. Community members tend to have a deep sense of and commitment to place that dates back generations. And at a state and national level, rural communities represent a powerful political voice.
“Wide Open Spaces: Schooling in Rural America Today” aims to equip advocates, decision-makers, and other stakeholders with a shared understanding of rural education to generate a more accurate and nuanced policy response.
Updated Policy Brief: Cooperatives Bring Fiber Internet Access to Rural AmericaEd Dodds
Originally published in 2017, our report, Cooperatives Fiberize Rural America: A Trusted Model for the Internet Era, focuses on cooperatives as a proven model for deploying fiber optic Internet access across the country. An update in the spring of 2019 included additional information about the rate co-ops are expanding Internet service, and now we’ve updated it again, with a new map and personal stories from areas where co-ops have drastically impacted local life.
Creating Places To Age in New Jersey Municipal Best PracticesNew Jersey Future
A supplement to New Jersey Future's Creating Places To Age report, detailing steps New Jersey municipalities can take to make themselves more accommodating to their older residents.
Similar to Creating Places To Age in New Jersey Bergen/Passaic Supplement (20)
Future Of Fintech In India | Evolution Of Fintech In IndiaTheUnitedIndian
Navigating the Future of Fintech in India: Insights into how AI, blockchain, and digital payments are driving unprecedented growth in India's fintech industry, redefining financial services and accessibility.
01062024_First India Newspaper Jaipur.pdfFIRST INDIA
Find Latest India News and Breaking News these days from India on Politics, Business, Entertainment, Technology, Sports, Lifestyle and Coronavirus News in India and the world over that you can't miss. For real time update Visit our social media handle. Read First India NewsPaper in your morning replace. Visit First India.
CLICK:- https://firstindia.co.in/
#First_India_NewsPaper
In a May 9, 2024 paper, Juri Opitz from the University of Zurich, along with Shira Wein and Nathan Schneider form Georgetown University, discussed the importance of linguistic expertise in natural language processing (NLP) in an era dominated by large language models (LLMs).
The authors explained that while machine translation (MT) previously relied heavily on linguists, the landscape has shifted. “Linguistics is no longer front and center in the way we build NLP systems,” they said. With the emergence of LLMs, which can generate fluent text without the need for specialized modules to handle grammar or semantic coherence, the need for linguistic expertise in NLP is being questioned.
ys jagan mohan reddy political career, Biography.pdfVoterMood
Yeduguri Sandinti Jagan Mohan Reddy, often referred to as Y.S. Jagan Mohan Reddy, is an Indian politician who currently serves as the Chief Minister of the state of Andhra Pradesh. He was born on December 21, 1972, in Pulivendula, Andhra Pradesh, to Yeduguri Sandinti Rajasekhara Reddy (popularly known as YSR), a former Chief Minister of Andhra Pradesh, and Y.S. Vijayamma.
31052024_First India Newspaper Jaipur.pdfFIRST INDIA
Find Latest India News and Breaking News these days from India on Politics, Business, Entertainment, Technology, Sports, Lifestyle and Coronavirus News in India and the world over that you can't miss. For real time update Visit our social media handle. Read First India NewsPaper in your morning replace. Visit First India.
CLICK:- https://firstindia.co.in/
#First_India_NewsPaper
‘वोटर्स विल मस्ट प्रीवेल’ (मतदाताओं को जीतना होगा) अभियान द्वारा जारी हेल्पलाइन नंबर, 4 जून को सुबह 7 बजे से दोपहर 12 बजे तक मतगणना प्रक्रिया में कहीं भी किसी भी तरह के उल्लंघन की रिपोर्ट करने के लिए खुला रहेगा।
हम आग्रह करते हैं कि जो भी सत्ता में आए, वह संविधान का पालन करे, उसकी रक्षा करे और उसे बनाए रखे।" प्रस्ताव में कुल तीन प्रमुख हस्तक्षेप और उनके तंत्र भी प्रस्तुत किए गए। पहला हस्तक्षेप स्वतंत्र मीडिया को प्रोत्साहित करके, वास्तविकता पर आधारित काउंटर नैरेटिव का निर्माण करके और सत्तारूढ़ सरकार द्वारा नियोजित मनोवैज्ञानिक हेरफेर की रणनीति का मुकाबला करके लोगों द्वारा निर्धारित कथा को बनाए रखना और उस पर कार्यकरना था।
03062024_First India Newspaper Jaipur.pdfFIRST INDIA
Find Latest India News and Breaking News these days from India on Politics, Business, Entertainment, Technology, Sports, Lifestyle and Coronavirus News in India and the world over that you can't miss. For real time update Visit our social media handle. Read First India NewsPaper in your morning replace. Visit First India.
CLICK:- https://firstindia.co.in/
#First_India_NewsPaper
27052024_First India Newspaper Jaipur.pdfFIRST INDIA
Find Latest India News and Breaking News these days from India on Politics, Business, Entertainment, Technology, Sports, Lifestyle and Coronavirus News in India and the world over that you can't miss. For real time update Visit our social media handle. Read First India NewsPaper in your morning replace. Visit First India.
CLICK:- https://firstindia.co.in/
#First_India_NewsPaper
role of women and girls in various terror groupssadiakorobi2
Women have three distinct types of involvement: direct involvement in terrorist acts; enabling of others to commit such acts; and facilitating the disengagement of others from violent or extremist groups.
Welcome to the new Mizzima Weekly !
Mizzima Media Group is pleased to announce the relaunch of Mizzima Weekly. Mizzima is dedicated to helping our readers and viewers keep up to date on the latest developments in Myanmar and related to Myanmar by offering analysis and insight into the subjects that matter. Our websites and our social media channels provide readers and viewers with up-to-the-minute and up-to-date news, which we don’t necessarily need to replicate in our Mizzima Weekly magazine. But where we see a gap is in providing more analysis, insight and in-depth coverage of Myanmar, that is of particular interest to a range of readers.
Creating Places To Age in New Jersey Bergen/Passaic Supplement
1. Creating Places to Age in New Jersey
Focus on Bergen and Passaic Counties
January 2014
In this supplement, we take a closer look at Bergen and
Passaic Counties to see whether and to what extent the same
mismatch between aging-friendly design on the one hand, and
where older residents actually live on the other, holds true in
these two counties as is present in the state as a whole. We
will highlight specific municipalities where the mismatch is
particularly problematic. We will also take advantage of the
smaller geographic area to investigate a few additional factors
affecting quality of life for older residents that were not discussed
in the main report.
Part 1: Spatial Mismatch Close-Up
In this section, we turn our attention to specific towns in Bergen
and Passaic counties that are experiencing a particular mismatch
between where older residents are living and which places have
the most aging-friendly development patterns. For each of the four
metrics — compactness of the development pattern, presence of
a mixed-use center, street network connectivity, and access to
public transportation – we will look at places that score poorly on
the metric but nonetheless host large numbers of older residents,
a potentially problematic combination.
Compactness of the development pattern: Using net
activity density (population plus jobs divided by developed land
Figure 1a.
area) as the metric, the good news is that much of Bergen and
Passaic counties score in the three highest categories: 39 of
Bergen County’s 70 municipalities and 9 of Passaic County’s 16
municipalities score as “urban,” “small city/urban suburb,” or
“dense suburban/small town.” Together, these municipalities
house two-thirds (68.2 percent) of all the counties’ residents
aged 55 and over – nearly double the statewide rate of 37.9
percent of older residents living in similar municipalities.
(See Figure 1a.) These places generally have a compact
development pattern where residents can accomplish their
errands and socializing without needing to drive much, if at all.
Another 24 municipalities (20 in Bergen and four in Passaic) fall
into the “moderate suburban” category. Of greatest concern
are the 14 municipalities that fall into the two lowest categories
(“low-density suburban” and “large-lot”), where the low-density
development pattern means that nearly all trips must be taken
by car, and travel distances are long:
• In Bergen County: Alpine, Demarest, Franklin Lakes,
Haworth, Ho-Ho-Kus, Old Tappan, River Vale, Saddle River,
Upper Saddle River, Woodcliff Lake, and Wyckoff
•
In Passaic County: North Haledon, Ringwood, and
West Milford Twp.
Distribution of 55+ population by net activity density category
— Bergen, Passaic, and NJ statewide
100%
90%
80%
70%
60%
50%
urban
40%
small city/urban suburb
30%
dense suburban/small town
20%
moderate suburban
10%
low-density suburban
0%
large lot
Bergen
Passaic
NJ statewide
More than two-thirds of Bergen and Passaic County residents aged 55 or older live in municipalities with a development pattern that
is compact enough (“dense suburban / small town” or higher) not to require much driving. This is nearly double the statewide rate of
37.9 percent of older residents living in similar municipalities.
Supplement—Focus on Bergen and Passaic Counties 1
2. Figure 2a.
Distribution of 55+ population by center category— Bergen, Passaic, and NJ statewide
100%
90%
80%
70%
60%
50%
40%
no centers identified
30%
contains multiple centers
20%
contains single center
10%
contains ≥ 1 centers
0%
center
Bergen
Passaic
NJ statewide
About half of the municipalities in Bergen and Passaic counties contain some sort of mixed-use center, where many kinds of
destinations are located close together; the other half do not. The non-center municipalities together contain one-third of all
residents of both counties over the age of 55. Both counties perform better than the state as a whole, in terms of the share
of their older populations living in mixed-use downtowns.
These 14 municipalities together house 9.5 percent of the
counties’ residents aged 55 and over – 35,000 people –
compared to only 8.6 percent of the total population. So older
people are actually over-represented in these aging-unfriendly
municipalities. The problem is slightly more acute in Passaic
County, where 11.0 percent of the 55+ population lives in the
county’s low-density municipalities, compared to 8.8 percent
in Bergen. Note, however, that both counties compare quite
favorably to the statewide rate of 30 percent of older people living
in municipalities in the two lowest net activity density categories.
But if retrofitting lower-density places to be more aging-friendly
is a viable option, these 14 municipalities are where local, county,
and state officials should start looking to make improvements.
Mixed-use centers: About half of the municipalities in Bergen
and Passaic counties – 45 out of 86 – contain some sort of
mixed-use downtown or “center,” based on New Jersey Future’s
methodology for identifying these centers. The other 41
municipalities do not. A few of these 41 non-centers are fairly
densely populated, like Prospect Park, Bogota, and Paramus,
so it is possible that they actually do contain a downtown but
have not been identified as such, for the reasons described in the
section on centers in the main report. On the other hand, it is also
possible that they function like dense but primarily residential
urban neighborhoods, where homes are close to each other but
not necessarily close to any non-residential destinations. It is
2
New Jersey Future
not possible to discern this difference from available data, so for
this analysis we will treat them as not having a center.
The 41 non-center municipalities – 35 in Bergen and six in Passaic
– together contain one third (33.4 percent) of all residents of
both counties over the age of 55, a higher percentage than their
share of the total population (30.5 percent). As with net activity
density, older people are thus over-represented in the places that
have the least friendly development patterns. The percentage is
slightly higher for the oldest age bracket, those aged 85 and over,
than it is for the younger groups: 35.3 percent of those over age
85 live in one of the non-center municipalities, compared to 33.7
percent of the 65-to-84 age group and 32.8 percent of the 55-to64 group. Again, though, it is not clear whether this is cause for
any additional concern, given the higher likelihood of the oldest
residents’ living in institutional arrangements where they rarely
leave the property, regardless of where it is located.
As with net activity density, Bergen and Passaic counties perform
better than the state as a whole in terms of the share of their older
populations living in mixed-use downtowns. (See Figure 2a.) It
is still a problem, however, that a third of the two-county area’s
older citizens – 123,000 people in all – live in municipalities that
do not contain a center, because it means that many types of
destinations will not be easily accessible to them by any means
other than driving out of town. This will become an even bigger
problem as the ranks of the oldest old – those most likely for
3. Figure 3a.
Distribution of 55+ population by road density category— Bergen, Passaic, and NJ statewide
100%
90%
80%
70%
60%
50%
very high
40%
high
30%
good
20%
medium
10%
low
very low
0%
Bergen
Passaic
NJ statewide
Most Bergen and Passaic County residents aged 55 or older – 83 percent – live in a municipality having at least “good” road density,
compared to less than half of older residents statewide. Many municipalities in the two counties inherited their street networks from
an older, more pedestrian-friendly era.
health reasons to be no longer able to drive a car – swell in the
future.
Street network connectivity: Most municipalities in Bergen
and Passaic counties score well on street network connectivity:
56 of the 70 municipalities in Bergen and 11 out of 16 in Passaic
have at least “good” road density. These 67 municipalities
together account for 83.2 percent of all residents aged 55 or
older in the two-county area. (See Figure 3a.)
This result is not terribly surprising, since the two counties
experienced most of their development in the early half of
the 20th century, before the rise of Interstate highways and
cul-de-sac subdivisions. They inherited their street networks
from an older, more pedestrian-friendly era. No municipalities in
the two counties scored in the “very low” road density category,
and only eight scored “low,” almost all of them in the more
recently developing northern sections of their counties:
• In Bergen County: Alpine, Mahwah, Rockleigh, and
Teterboro
• In Passaic County: Bloomingdale, Ringwood, Wanaque,
and West Milford Twp.
Another 11 municipalities – 10 in Bergen and one in Passaic – have
“medium” road density:
• In Bergen: Carlstadt, East Rutherford, Edgewater, Franklin
Lakes, Moonachie, Norwood, Oakland, Old Tappan,
Ridgefield, and Saddle River
• In Passaic: Wayne
Even among these municipalities, a few – Carlstadt, East Rutherford, Moonachie, and Ridgefield – have better-connected street
networks than the metric implies, because of the effect discussed earlier with regard to places like Atlantic City and Secaucus. All four of these municipalities are fully built-out but have
significant portions of their land areas within the Meadowlands,
where development is restricted and large tracts of land are permanently preserved. Their undevelopable lands are included in
the denominator of the route-miles per square mile metric, diluting the “real” value of their road densities. But the developed
parts of these four municipalities look a lot like their neighboring
municipalities, which generally score in the higher road density
categories.
Excluding the four Meadowlands municipalities, the other 15
municipalities that scored in either the “medium” or “low” road
density categories account for only 14.7 percent, or about one
in seven, of the population of older people in the two-county
area. Most of the counties’ older residents live in areas where
the street networks are relatively conducive to walking or short
driving trips; it is only in the counties’ less-developed and
more spread-out northern reaches where a mismatch exists,
creating accessibility problems for those who are not able to rely
completely on driving.
Access to transit: Bergen and Passaic counties are generally
well served by local buses. Of the 86 municipalities in the two
counties, 57 have at least “good” levels of local bus service (at
Supplement—Focus on Bergen and Passaic Counties 3
4. Figure 4a.
Distribution of 55+ population by local bus stop density category —
Bergen, Passaic, and NJ statewide
100%
90%
80%
70%
60%
50%
40%
none
30%
low
20%
medium
10%
good
0%
excellent
Bergen
Passaic
NJ statewide
Bergen and Passaic counties are generally well served by local buses. Fully 80 percent of residents aged 55 and older in the two
counties live in municipalities with “good” or better local bus stop density, with more than 60 percent living in municipalities
with “excellent” bus stop density (15 or more bus stops per square mile).
least six bus stops per square mile). Only 20 have no local bus
service at all, all of which are in northern Bergen except for
North Haledon in Passaic County. These 20 account for only 12.3
percent of the two-county region’s 55-and-over population. In
contrast, fully 80 percent of that population lives in municipalities
with “good” or better local bus stop density. (See Figure 4a.)
In fact, 62 percent of older residents in Bergen and Passaic
live in a municipality with “excellent” local bus stop density (15
or more bus stops per square mile); this is almost double the
percentage of older residents statewide (32 percent) who live in
municipalities with excellent local bus service.
Northern Bergen County is devoid of local bus service probably
because it is also devoid of mixed-use centers. None of the 19
northern Bergen municipalities with no bus service contains
a center, based on New Jersey Future’s process for identifying
centers. All but one of them (Northvale) also score in the three
lowest net activity density categories. Most of the 19 actually
score at least “good” in terms of road density, but this illustrates
the point that all three metrics (compactness, mix of uses, and
street network connectivity) are important, and that a good score
on one metric can yield only limited benefits if accompanied by
poor scores on the others. These 19 northern Bergen County
municipalities are home to 42,000 older people who might be
able to walk around the block to visit their friends, thanks to their
neighborhoods’ good road density, but will have to get in the
car for just about any other type of trip. And the municipalities’
4 New Jersey Future
relatively low density of destinations means that these places are
probably not good candidates for publicly-funded bus service.
Bergen and Passaic counties both have more extensive rail
transit service than many other counties in New Jersey. Twentytwo of Bergen County’s 70 municipalities and six of Passaic’s 16
host at least one rail transit station, and nine municipalities – six
in Bergen and three in Passaic – host more than one. Together,
these 28 municipalities account for 45.7 percent of the twocounty area’s 55-and-over population, including 33.0 percent
of Bergen’s older residents and a remarkable 73.2 percent
of Passaic’s. Surprisingly, however, Bergen’s percentage of
rail-transit-enabled older residents is actually lower than the
statewide rate of 39.6 percent. Bergen County may have 28
rail transit stations located within its borders, but not enough
older residents live near those stations for Bergen to match the
statewide rate, let alone neighboring Passaic’s.
Most and least aging-friendly places: Bergen and Passaic
counties generally score better than other parts of the state on
all four aging-friendliness metrics. There are only a small handful
of municipalities in the two counties – Alpine, Franklin Lakes,
Old Tappan, and Saddle River in Bergen County and Ringwood
in Passaic County – that score poorly on all four metrics. (See
Figure 5a.) These five municipalities together contain only 2.8
percent of the two-county area’s older population. Still, this
represents slightly more than 10,000 people aged 55 or older,
more than half of whom are over 65. Whatever issues the rest of
5. the state will be grappling with in terms of older residents living
in places that are not well suited to “aging in place,” some parts
of Bergen and Passaic counties will be dealing with them as well.
On the other hand, 37 of the 86 municipalities in the two counties
score well on all four metrics – 30 out of 70 in Bergen and seven
out of 16 in Passaic. These municipalities together account for
60.8 percent of the two-county area’s 55-and-over population.
This compares very favorably to the corresponding statewide
percentage cited earlier, in which 107 high-scoring municipalities
host 31.3 percent of the state’s older residents. (See Figure 6a.)
In fact, nearly one-third (31.9 percent) of the 700,000 older New
Jerseyans statewide who live in a municipality that scores well
on all four aging-friendliness metrics live in one of the 37 such
municipalities in either Bergen or Passaic counties, despite the
fact that Bergen and Passaic together contain only 16 percent of
the state’s total population. In other words, older people living in
aging-friendly places are significantly overrepresented in Bergen
and Passaic counties compared to the rest of the state. Bergen
and Passaic thus have a head start in dealing with the coming
crisis of older people living in places where it is difficult for them
to get around without a car.
HOUSING TYPES: Assuming that many people want to downsize
their housing as they age, seeking to unburden themselves
from yard work and property maintenance (and to reduce their
property tax bill and their mortgage payment, if they still have
one), it is reasonable to conclude that older people might be
more interested than the general population in multi-family
housing (apartments and condos in multi-unit buildings). Yet
among the 41 municipalities with the most aging-friendly
development patterns, half (20) have a smaller percentage of
multi-family housing as a percent of total housing units than the
statewide rate of 26.4 percent, and five of them (Englewood Cliffs,
Totowa, South Hackensack Twp., Hawthorne, and Carlstadt)
have less than half that percentage. All but one of these 20 have
a higher concentration of residents aged 55 and over than the
state as a whole. In other words, half of the places in Bergen
and Passaic counties with the most aging-friendly development
characteristics are indeed over-supplied with older residents
as compared to the rest of the state (which is good), but are
comparatively under-supplied with appropriate housing options
(which is bad).
Aging-Friendly Development
Figure 5a. Characteristics vs. Where Older Bergen
and Passaic County Residents Live
Part 2: Aging-friendly, but not aging-ready
Bergen and Passaic counties have an advantage over most
of the rest of New Jersey in having inherited their relatively
pedestrian-friendly and less car-dependent development
patterns from an earlier era. But are most municipalities with
aging-friendly development patterns actually equipped to
absorb more older residents? In this section, we will identify
places whose design characteristics appear to make them good
places for older people, but which lack sufficient supplies of the
kinds of housing that those residents are likely to need or want.
In these places, the problem is not that they are difficult places
for people to get around. Instead, the question is a more microlevel one: How can these places create more aging-friendly
housing options, so that more older people can move in and
take advantage of the aging-friendly design, and younger current
residents can age in place?
Let us turn our attention to the 41 municipalities in the twocounty area – 34 in Bergen and seven in Passaic – that contain
some sort of mixed-use center and also score in one of the three
highest net activity density categories. (See Appendix A1.) (All
but four of these municipalities also score at least “good” on
local bus service and on road density.) This is a combination of
design characteristics that should make a variety of destinations
easily accessible to people with limited ability or desire to drive.
How well supplied are these municipalities with housing options
that are more suitable to older residents?
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municipalities scoring well on all 4 metrics
municipalities scoring poorly on all 4 metrics
one dot = 500 people aged 55+
More than 60 percent of Bergen and Passaic County residents
aged 55 or older live in one of 37 municipalities that score well on
all four aging-friendliness development metrics. Only a handful
of municipalities score poorly on all four, although this still
represents more than 10,000 people who may find themselves
increasingly isolated in a car-dependent landscape as their
ability to drive diminishes with time.
Supplement—Focus on Bergen and Passaic Counties 5
6. Figure 6a.
Percent of the 55+ Population Living in a Municipality that Scores Well
on All Four Senior-Friendly Criteria
70%
60%
50%
40%
30%
20%
10%
0%
Bergen
Passaic
NJ statewide
60.8 percent of the two-county area’s 55-and-over population live in municipalities that score well on all four aging-friendliness
development metrics. This compares very favorably to the corresponding statewide percentage of only 31.3 percent. Bergen
and Passaic counties have a head start in dealing with the coming crisis of older people living in places where it is difficult for
them to get around without a car.
Some of these municipalities have very high concentrations of
duplexes, however, a housing form that in many ways represents
a compromise between the higher-maintenance single-family
detached home and the lower-maintenance option of a unit in
a multi-unit structure. A better indicator of whether a place’s
housing stock is aging-appropriate or not, therefore, may simply
be the percent of housing units that are single-family detached,
with the assumption being that a lower percentage is more agingfriendly. On this score, the 41 most aging-friendly municipalities
score a little better, with only 16 of them having a higher
percentage of single-family detached housing units than the
statewide rate of 53.8 percent. In a few of these places, however
– Englewood Cliffs, Rochelle Park, Fair Lawn, Totowa, Teaneck,
River Edge, Dumont, and Maywood – single-family detached
units make up more than two-thirds of the housing supply. These
municipalities might need to make more of an effort than most
of their peers in the two-county area to diversify their housing
options, so that residents who want to downsize as they grow
older can remain in these communities and take advantage of
their relatively aging-friendly development patterns.
The municipalities whose development
patterns are best suited to older residents
are, unfortunately, not necessarily prioritizing
production of the more modest-sized homes
that are better suited to these residents’ needs.
6
New Jersey Future
HOUSING SIZE: Another measure of whether a municipality’s
housing stock is appropriate for older residents is the size of
the typical housing unit, measured for this purpose by number
of rooms. Consider the supply of housing units having between
four and six rooms, a modest size that is more manageable to
maintain and keep clean, contrasted with the supply of units with
nine or more rooms. Larger housing units have seen explosive
growth throughout New Jersey in the last two decades: Units
with nine or more rooms accounted for 29.1 percent of the total
increase in housing units in New Jersey between 1990 and 2000
and an even bigger 44.2 percent of the total between 2000 and
2010.1
Among the 41 municipalities in Bergen and Passaic counties
with the most aging-friendly development patterns, a full 20 of
them saw their number of housing units with between four and
six rooms actually decline in absolute terms from 2000 to 2010.
(In five of these 20 – Haledon, Englewood Cliffs, Westwood,
Ridgefield, and Wood-Ridge – the number of units having
nine or more rooms also declined.) In another 15 of these 41
municipalities, the number of large (nine rooms or more) units
grew faster than the number of units with between four and six
rooms. In only six of the 41 most aging-friendly municipalities
– Palisades Park, Hackensack, Little Ferry, Englewood, Rochelle
Park, and Elmwood Park – did the growth rate for four- to sixroom homes exceed the rate for homes with nine or more rooms.
The municipalities whose development patterns are best suited
to older residents are, unfortunately, not necessarily prioritizing
7. production of the more modest-sized homes that are better
suited to these residents’ needs.
offer. To make some of these towns truly good “places to age,”
crime and public safety will need to be addressed.
AFFORDABILITY: Of course, even where a municipality’s
housing supply offers multiple options that are desirable to
older householders, the question remains of whether most older
residents can afford to own or rent a home there. As measured
by the Elder Index,2 “a measure of the income that older adults
need to meet their basic needs and age in place with dignity”
that was developed by Wider Opportunities for Women and the
Gerontology Institute at the University of Massachusetts Boston,
Bergen and Passaic counties are two of the most expensive
counties in New Jersey, with their indices running anywhere from
5 to 15 percent higher than the statewide index, depending on
whether the household is a single person or a couple and whether
the dwelling is owned or rented. And looking at only the housingcost component of the index, Bergen and Passaic are more like 10
to 25 percent more expensive than the state as a whole.
Many of the municipalities in Bergen and
Passaic counties with the most aging-friendly
development patterns also have crime rates
that are significantly higher than average for
the two counties.
New Jersey is an expensive state for
older residents, particularly for housing
costs, and Bergen and Passaic are
expensive counties within New Jersey.
The New Jersey index, in turn, is itself typically 20 to 30 percent
higher than the national index, again depending on the size and
ownership status of the household. In particular, because of
New Jersey’s high property tax bills, housing costs statewide
for an older homeowner household without a mortgage are
nearly double the national rate for the same household, and in
Bergen and Passaic counties the costs are more than double
the national index. New Jersey is an expensive state for older
residents, particularly for housing costs, and Bergen and Passaic
are expensive counties within New Jersey, making it difficult for
people to continue to afford to live there as they age.
SAFETY: While it is certainly good news that there are 41
municipalities in Bergen and Passaic counties that contain some
sort of mixed-use center and also score in one of the three highest
net activity density categories, and that some of them are even
well supplied with housing types likely to be preferred by older
residents, these data points still tell only part of the story. There
are, of course, many other features of a place that are unrelated
to its urban design or its housing stock but that nonetheless
affect whether that place is a good place for people to live as
they get older. One such factor is crime. A look at the list of the 41
municipalities with the most aging-friendly development patterns
also contains most of the municipalities with crime rates that are
significantly higher than average for the two counties.3 Feeling
safe in your walkable, mixed-use neighborhood is essential to
being able to take advantage of what that neighborhood has to
Another aspect of safety that is not possible to discern from the
variables considered in this report is the risk of being hit by a
vehicle while walking. While a municipality may score well on
the connectivity of its street network, meaning that it provides
multiple and more-direct paths among destinations, there is no
guarantee that these shorter paths are supplied with sidewalks.
And even where sidewalks are present, crossing the street at
the corner may pose a hazard for older, less-mobile residents
in areas where streets are wide and traffic signals do not allow
sufficient time to cross.4 According to the Tri-State Transportation
Campaign’s report Older Pedestrians at Risk:5
Tri-state residents aged 60 years and older suffer a pedestrian
fatality rate that is 2.38 times the rate of those younger than
60. Those aged 75 years and older are even more vulnerable,
with a fatality rate that is 3.09 times the rate for people
younger than 60 years old.
As with crime, the fear of crossing busy streets could in some
cases deter older residents from availing themselves of the
walkability of their compact, mixed-use neighborhoods.
These factors that are less directly related to land development
patterns would also need to be considered in a more holistic
assessment of whether a particular place is a good place to age,
both in Bergen and Passaic counties and elsewhere in the state.
Conclusion
A closer look at Bergen and Passaic counties reveals that
most municipalities in the two counties are generally possessed
of development characteristics that are much more conducive
to “aging in place” than most of the rest of New Jersey. The two
counties experienced most of their growth in the early half of the
20th century, before the rise of Interstate highways and cul-desac subdivisions, so most of their constituent municipalities have
inherited relatively dense, mixed-use development patterns
and well-connected street networks from an earlier era. A high
density and diversity of destinations, together with a pedestrianfriendly street network and good public transportation to
connect those destinations, are precisely the factors that make it
easier for people to get around without having to spend all day in
the car. This means that the phenomenon of older residents with
Supplement—Focus on Bergen and Passaic Counties 7
8. limited mobility being stranded in low-density, car-dependent
neighborhoods is not going to be as big a problem in Bergen and
Passaic as it is in most of the rest of the state.
This is not to say that the isolation of older residents in cardependent suburbs won’t be a problem at all, however. Tens
of thousands of Bergen and Passaic residents over the age of
55 live in a municipality that scores poorly on at least one of the
four aging-friendliness metrics that New Jersey Future has used
to identify good places to age, mostly in the less-developed
northern sections of the counties. Strategies for making these
places more aging-friendly will need to be considered, especially
since New Jersey’s population is projected to get steadily older
in the coming decades.
It is also not safe to assume that a place is a good place for older
residents just because its development pattern is relatively
compact and pedestrian-friendly. Plenty of towns in Bergen
and Passaic counties with traditional downtowns and walkable
neighborhoods have relatively short supplies of the smaller
homes and apartments that are more suitable for older residents
who no longer need space for a family or have the desire or ability
to maintain a large property. Others are prohibitively expensive
for retirees living on fixed incomes. Still others have their agingfriendliness undermined by higher than average crime rates.
While Bergen and Passaic counties have a big head start over
most other counties in New Jersey in providing the kind of
development environment that makes it easy for older residents
to get around without having to rely exclusively on a car, work
8
New Jersey Future
remains to be done on other fronts – housing diversity, housing
affordability, safety – to ensure that municipalities with agingfriendly development patterns are actually equipped to absorb
more older residents. Many municipalities will need to create
more aging-friendly housing options, increase their supplies of
lower-cost housing, and make their streets safer, if they want to
make themselves into truly good “places to age.”
Endnotes
1 At the municipal level, statistics on housing unit size by
number of rooms for “2010” are actually from the 2006-2010
five-year American Community Survey, which produces
estimates using five years of pooled sample data. Single-year
estimates are not available at the municipal level.
2 Wider Opportunities for Women’s Elder Index may be found
at http://www.basiceconomicsecurity.org/gateway.aspx
3 See the New Jersey State Police’s Uniform Crime Report,
available at http://www.njsp.org/info/ucr2011/index.html, for
municipal-level crime statistics.
4 “The Next Big Infrastructure Crisis: Age-Proofing Our Streets,”
Atlantic Cities, June 2013: http://
www.theatlanticcities.com/neighborhoods/2013/06/nextbig-infrastructure-crisis-age-proofing-america/5865/
5 Tri-State Transportation Campaign’s report, Older
Pedestrians at Risk , may be found at http://www.tstc.org/
reports/older12/senior-pedestrians-at-risk-2012.pdf
9. Appendix A1 – Table of 41 municipalities
Bergen and Passaic County Municipalities Scoring Well On New Activity Density and Presence of a Center
Forty-one municipalities in Bergen and Passaic counties—34 in Bergen and seven in Passaic—contain some sort of mixed-use center
and also score in one of the three highest net activity density categories. Many of these 41 municipalities with the most aging-friendly
development characteristics have relatively high crime rates and/or have relatively inadequate supplies of the kinds of housing older
residents are likely to want.
county
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Bergen
Passaic
Passaic
Passaic
Passaic
Passaic
Passaic
Passaic
municipality name
Bergenfield borough
Carlstadt borough
Cliffside Park borough
Dumont borough
East Rutherford borough
Edgewater borough
Elmwood Park borough
Englewood city
Englewood Cliffs borough
Fair Lawn borough
Fairview borough
Fort Lee borough
Garfield city
Hackensack city
Hasbrouck Heights borough
Leonia borough
Little Ferry borough
Lodi borough
Lyndhurst township
Maywood borough
New Milford borough
North Arlington borough
Palisades Park borough
Ridgefield borough
Ridgefield Park village
River Edge borough
Rochelle Park township
Rutherford borough
Saddle Brook township
South Hackensack township
Teaneck township
Wallington borough
Westwood borough
Wood-Ridge borough
Clifton city
Haledon borough
Hawthorne borough
Passaic city
Paterson city
Totowa borough
Woodland Park borough
New Jersey total
singlesinglefamily
family
detached attached
duplex
multifamily
mobile
homes
% 9+
rooms
crime
rate per rate per
% chg in # % chg in #
1,000
1,000
% 4 to 6 of units w 4 of units w popula- popularooms to 6 rooms 9+ rooms
tion
tion
65.4%
37.8%
20.2%
71.4%
25.1%
6.1%
45.6%
44.8%
94.3%
75.4%
18.3%
12.7%
19.5%
20.3%
63.5%
56.0%
36.6%
24.7%
38.7%
70.6%
64.2%
39.0%
18.1%
39.8%
40.8%
72.1%
75.8%
55.6%
63.5%
32.4%
73.0%
26.8%
56.7%
66.0%
46.9%
27.6%
51.4%
15.6%
16.4%
75.3%
39.6%
2.8%
2.8%
7.5%
2.3%
6.2%
8.8%
5.4%
7.0%
1.8%
3.6%
6.5%
4.5%
2.9%
1.9%
2.1%
6.6%
4.0%
3.4%
2.6%
1.6%
1.2%
2.7%
10.0%
3.4%
2.6%
1.5%
0.0%
2.1%
3.5%
8.0%
2.1%
2.8%
3.3%
4.4%
5.5%
5.7%
3.2%
2.9%
3.4%
3.0%
7.9%
11.2%
46.7%
21.0%
9.1%
33.0%
5.7%
34.2%
8.6%
1.4%
7.4%
30.1%
11.9%
50.0%
12.6%
13.3%
3.9%
14.9%
41.1%
34.1%
12.0%
5.4%
30.7%
33.7%
31.2%
24.1%
2.8%
9.8%
15.1%
17.4%
56.6%
5.8%
38.7%
9.4%
14.9%
24.3%
46.4%
35.7%
21.8%
33.7%
18.0%
23.6%
20.6%
12.6%
51.3%
17.1%
35.7%
79.4%
14.7%
39.7%
1.8%
13.5%
45.1%
70.8%
27.6%
65.1%
21.1%
33.5%
43.5%
29.1%
24.6%
15.7%
29.1%
27.6%
38.2%
25.6%
32.5%
23.5%
14.4%
27.3%
15.6%
2.9%
18.8%
31.7%
30.5%
14.2%
23.1%
20.3%
9.7%
59.6%
46.1%
2.2%
28.7%
0.1%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.8%
0.1%
0.0%
0.0%
0.0%
0.1%
0.0%
0.0%
0.0%
1.6%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.3%
0.0%
0.0%
0.4%
0.2%
0.0%
0.0%
0.0%
0.3%
1.5%
0.3%
8.7%
11.9%
4.8%
9.3%
7.2%
1.3%
6.5%
14.4%
37.3%
10.3%
5.0%
4.0%
5.4%
3.6%
11.2%
14.2%
8.5%
6.4%
7.9%
8.7%
10.9%
7.2%
3.5%
6.8%
6.8%
10.4%
5.9%
13.2%
10.8%
11.2%
17.3%
7.2%
7.6%
6.7%
8.5%
7.4%
10.0%
6.1%
4.4%
14.8%
5.8%
50.8%
64.2%
58.0%
47.5%
55.9%
53.5%
66.3%
46.5%
22.9%
46.4%
54.9%
53.5%
73.7%
53.6%
44.8%
29.9%
47.6%
57.3%
63.5%
55.7%
40.7%
59.7%
65.5%
50.2%
47.9%
38.1%
54.6%
39.5%
46.6%
71.4%
37.1%
60.2%
32.8%
49.5%
47.4%
56.7%
56.0%
33.9%
61.2%
47.2%
51.6%
10.6%
11.8%
14.6%
-0.4%
16.6%
36.8%
9.1%
24.5%
-17.9%
-3.0%
0.7%
15.2%
16.9%
40.6%
6.1%
-2.6%
25.5%
-4.3%
11.2%
5.4%
2.5%
-4.7%
84.2%
-9.1%
-3.0%
-9.6%
17.9%
-3.7%
-18.6%
21.4%
-2.3%
12.5%
-11.9%
-3.0%
-16.0%
-33.3%
-5.9%
-29.9%
5.6%
-2.6%
-7.7%
55.6%
34.4%
19.5%
29.7%
38.7%
48.1%
4.9%
7.1%
-1.6%
15.4%
129.5%
17.6%
22.0%
3.4%
29.5%
7.8%
-8.6%
14.9%
11.5%
18.8%
62.2%
74.9%
3.6%
-23.2%
12.3%
59.3%
-9.0%
37.3%
55.8%
39.2%
32.9%
30.2%
-1.6%
-9.3%
85.0%
-5.2%
25.7%
44.0%
31.5%
41.9%
18.4%
53.8%
9.2%
9.5%
26.4%
1.0%
13.2%
47.8%
5.1%
28.8%
6.6
26.9
9.3
6.1
36.2
16.3
22.0
14.6
12.7
12.5
16.2
10.1
19.4
23.0
6.8
11.3
12.1
16.7
18.1
9.0
7.3
17.1
10.7
7.8
16.0
9.7
16.8
15.7
23.2
29.0
15.2
16.1
7.0
9.2
22.3
31.4
15.9
31.0
42.6
37.9
22.3
0.7
0.8
1.3
0.6
2.8
0.3
1.1
2.5
0.4
0.8
2.5
0.6
2.7
2.2
0.3
0.2
0.8
1.4
0.7
0.1
0.4
1.2
1.1
0.2
1.5
0.2
0.7
0.8
0.9
4.6
1.8
1.1
1.2
0.5
2.6
1.9
0.7
8.5
10.2
1.8
0.7
18.8
2.4
(Bergen/Passaic
average rates)
Data sources: Bureau of the Census, 2006-2010 five-year American Community Survey (for housing unit data); New Jersey
State Police 2011 Uniform Crime Report (for crime rates)
Cells in the table that are highlighted in yellow indicate:
municipalities having a higher percentage of single-family detached housing than the statewide rate of 53.8 percent
municipalities having a smaller percentage of multi-family housing than the statewide rate of 26.4 percent
municipalities in which the number of housing units with between four and six rooms declined in absolute terms from 2000 to 2010
municipalities in which the overall crime rate is higher than the two-county average (18.8 incidents per 1,000 population)
municipalities in which the violent crime rate is higher than the two-county average (2.4 incidents per 1,000 population)
Cells highlighed in green indicate municipalities in which the growth rate for four- to six-room homes exceeded the rate for
homes with nine or more rooms from 2000 to 2010
Supplement—Focus on Bergen and Passaic Counties 9
% 55+
25.7%
27.4%
29.7%
27.6%
25.4%
21.6%
27.2%
26.7%
38.2%
30.7%
21.2%
35.3%
22.5%
24.0%
28.6%
29.4%
25.9%
24.8%
27.9%
28.9%
28.2%
29.6%
22.9%
26.4%
24.7%
26.2%
33.6%
26.2%
29.1%
26.8%
28.0%
26.7%
29.0%
28.5%
26.1%
20.2%
26.8%
15.9%
18.5%
31.5%
31.5%
26.1%