Archive for ‘Demographics’

December 29, 2009

Neighbourhood vitality in Toronto's towers

Toronto’s residential towers are flung far across the city’s inner suburbs, tossed over subway lines or sprinkled along ravines and major roadways, further from transit. E R A Architects made the strong case for the renewal of these urban structures, and the City’s (now being re-branded) “Mayor’s Tower Renewal Project” has focused resources on these vertical neighbourhoods.

Wading into the issue soon will be a new United Way Toronto report on housing and neighbourhood vitality, tentatively titled (until the marketers get a hold of it),The Role of Housing in Neighbourhood Vitality: An investigation into the impact of high-rise living on personal well-being and neighbourhood vitality. It will examine the quality of housing in these mainly private marker towers located within the poor neighbourhoods in Toronto’s inner suburbs; it will also measure residents’ satisfaction levels, the impact on health and well-being for themselves and their families, their attachment to the neighbourhood and the experience of various populations groups within this housing stock.

United Way laid the groundwork for this study as part of its Building Strong Neighbourhoods focus. Part of this earlier work was laid out in an exploration of the elements of neighbourhood vitality. That report went so far as to recommend useful data variables which could be drawn from primary and secondary sources.

Scheduled for release sometime in the first half of 2010, the donor-funded report is a rigourous and sweeping undertaking with a total survey interview sample of 2800 tenants and additional focus groups. York University researchers (led by Robert Murdie) are already undertaking to replicate the survey in the Parkdale neighbourhood.

The data collection was completed through the fall with a team of interviewers and 3 field coordinators. Data cleaning and analysis are now underway.

The research is being done in partnership with the

  • Social Housing Services Corporation, looking at the potential of a provincial roll-out
  • Toronto Community Housing, to compare social housing tenants and private market renters
  • Toronto Public Health, to understand the impact of housing on health
  • Ministry of Municipal Affairs and Housing, to inform the new provincial housing strategy
  • City of Toronto, to create a a baseline of knowledge and also test the limitations of the complaints process, and
  • Apartment Association of Greater Toronto, who has provided access to private market rental stock.
October 23, 2009

"Are there limits to gentrification? Evidence from Vancouver"

Gentrification is fifty years old this year, UBC professor and Canada Research Chair in Geography David Ley explained to a University of Toronto audience earlier this week. Or at least the word “gentrification” is.

Although attributed to sociologist Ruth Glass first in 1964, the term can be found in an unpublished paper of hers five years earlier. Glass’ definition still holds up well, Ley explained. Gentrification is the movement of middle income households into lower income or working-class neighbourhoods.

Ley was speaking a Cities Centre hosted lecture entitled “Are there limits to gentrification? Evidence from Vancouver.” Reflecting back on the decades of work he has done on Vancouver neighbourhoods, Ley made the following points, some new, some old.

Shifts in the housing and labour markets are linked

While the labour marker and the housing market have been “commonly partitioned in academia,” they are coupled.

Citing the historical shifts in Cabbagetown, Ley read off a list of occupations from the 1960s and then a few decades afterwards. Physicians replaced Punch Press Operators. Teachers replaced transit workers. Higher income occupations replaced working class occupations. (It’s similar to the process I have described in my own neighbourhood in an earlier post.)

“Clearly a social change was going on,” said Ley.

The growth in the managerial and professional class occurred at the same time as the closure of factories were disappearing from Canada’s 5 largest metropolitan areas.  Almost as an aside, Ley pointed out the unrecognized role good quality public sector jobs has played in generating this shift. [One can’t help thinking how this links to Richard Florida’s idea of the creative classes.)

So, as the labour market shifted, the housing markets were likely to follow.

Industrial transition is the meta-narrative in the story of gentrification.

Gentrification plays out differently in different places because of the varied conditions. Urban areas with a stronger industrial base, such as Winnipeg and Windsor, will be less likely to face gentrification than post-industrial cities, such as Toronto. During the 1970s and 80s, for example, Toronto gained 60,000 of these higher status jobs while 75,000 jobs were lost in other parts of the economy.

The movement of artists predicts gentrification

The presence of artists other “pre-professionals” (with a lot of cultural capital, but little economic capital) signals a neighbourhoods in transition.

Ley described artists as modern magicians, transforming the material world of disinvested neighbourhoods, creating cachet.  Young professionals, eager to pick up such cultural capital, soon follow, driving prices up. So artists are continually shunted along out of the secure neighbourhoods into other working class, and often non-English -speaking, ones.

“So where they were in 1971, they are gone. And where they weren’t, they are in 1991,” Ley said. “Their concentration leads to their own elimination.”

The middle class then begins to move in, once terra incognito is proven. In Toronto, we saw movement along Bloor Street as this occurred. In Vancouver, the growth was along Main Street.

So what kinds of neighbourhoods has gentrification favoured?

Ley’s study of Vancouver neighbourhoods since the 1970s found these patterns:

  1. Gentrification typically occurs in areas adjacent to other high status areas.
  2. It also typically occurs close to environmental amenities, such as waterfronts and parks, where Ley remarked wryly, physiques can be admired.
  3. Gentrification occurs overwhelmingly in areas which are Anglo-Canadian (British stock).
  4. Gentrification occurs in areas where rents are above average.

This is the founding pattern. Ley said wryly that he missed the opportunity in the 970s to become a millionaire when he had the predictive model to see where gentrification would spread. Instead, Ley said, he had only the deep moral satisfaction that he had had the insight, if not the wit, to invest.

“However, once the market is ‘proven,’ a much more eclectic, experimental phase follows,” Ley explained, “and areas likely to gentrify become much harder to predict.”

Some neighbourhoods resist gentrification

People have been talking about the imminent gentrification of Vancouver’s Downtown Eastside and Grandview Woodland for 35 years, Ley explained. It has many heritage buildings, walkable, close to water and some tree-lined streets, all indicators in the earlier model of a place ripe for gentrification. And yet, they remain, some of the poorest census tracts in Canada.

Attempts at gentrification are regularly made by hopeful arrivals. Condo marketers have played off this grittiness, advertising, “Be bold or move to the suburbs.” But, as one local business owner said to Ley, “these people just wash through.”

So how have these neighbourhoods resisted persistent attempts to move them upscale?

Ley’s short answer: A complex local sense of place which is unfriendly to gentrification

Ley’s longer answer:

  • Proximate to an industrial waterfront, where one nearby resident said the rendering plant had made him a vegetarian.
  • A challenging street scene that creates unpredictable encounters in public space.
  • Local politics are highly tolerant of existing diversity and hostile to capitalism in general. For instance, when Starbucks opened on Commercial Drive, their windows were smashed repeatedly.

Neighbourhoods “in decline” are where poor people are housed, yet, Ley cautioned later, governments need to be cautious about intervening there, as improvements may lead to displacements.

Gentrifiers can triumph through persistent incrementalism

“There is clear evidence gentrifiers are trying to change their externalities,” Ley said as he flipped a transparency onto the overhead.

The graph showed the number of complaints about the smell emanating from the local rendering plant. A wave of complaints in the 1990s lead to  changes. Then, in 2005, the complaints sky-rocketed, doubling, even when additional changes were made.

Ley flipped another transparency onto the overhead: An excerpt from the Globe & Mail’s real estate section, Done Deal. A five bedroom house with a two bedroom rental unit in Grandview Woodland.

  • 1996 – Selling price, $277,000
  • 2001 – Selling price, $428,000
  • 2006 – Selling price $920,000
  • 2009 – Asked $899,000; Selling price – $1,015,000

It is one of the dichotomies of the private market, Ley explained, later in answer to a question from the audience. “The bottom line is if we have a free-market in land, than those with the most money will outbid others and hold the land.”

Recognizing the right to the city for poor people

The Downtown Eastside has held gentrification at bay, mainly, Ley says because 40% of housing in the neighbourhoods is non-market. The City has sustained affordable housing units, and neighbourhood residents and organizations have a “poor people’s turf” legitimate.

The local ethos is preservation, public investment and revitalization without displacement. It is a grudging recognition of a right to the city for poor people.

Government regulation and policy is central

In the past century, Ley explains, neo-liberal policies have encouraged the spread of gentrification and the displacement of poor people because of the lack of investments it has made in affordable housing. Escalating levels of public debt will work against the revival of a welfare state that will create new housing.

The current push for sustainable housing and improved “eco-densities” will further aggravate the problem of affordable housing and further prime the inequality that is running the poor out of Canadian cities, Ley explained.

Although newer developments purport to improve densities, building taller buildings, the units are large and use more expensive materials, leaving those with low incomes displaced form the areas being “renewed.” Indeed these taller buildings often have fewer people in them then low-rises they replaced.

Gentrification cannot be benign

Strictly speaking, if higher-end housing units are built as infill or on brownfield, displacement of the poor is not an issue.

However, Ley explained in response to an audience question, the argument shifts then to the effects beyond the building unit itself, such as whether other middle income households are then drawn to the area. Housing co-ops, for instance, have been argued to prime neighbourhoods for gentrification. One social housing service provider explained to Ley that they want their housing to be “gritty” so that it doesn’t generate these external effects.

Finally, approached afterwards on the topic of mixed neighbourhoods, Ley explained that social mixing is usually just a transitional stage, on the way to complete gentrification.

The audience would have stayed longer to flesh out the lecture further, but another class arrived, this time to face an exam.

read more »

October 17, 2009

Toronto's emotional map running hot & cold

Kevin Stolarick, Richard Florida’s “stats guy” at the Martin Prosperity Institute has been up to a bit of mischievous mapping in his spare time.

Using data from a UC Berkeley psychologist who publishes the Big Five Personality Test , Stolarick has mapped out the major emotional of characteristics of Toronto residents by neighbourhood (probably Forward Sortation Areas – the first three digits of a postal code).

The Toronto Star published the maps today: Toronto the Good – and bad and sad and mellow and … .

It’s a relief to see some maps that break the traditional “U” and “O” deprivation patterns. West-enders are extroverted, east-enders are neurotic. Suburban areas tend to be more agreeable, while those along the subway lines are less so. Most of the city is the conscientious type. Those closer to the lake tend to be more open to new experiences.

Now, because the survey is web-based, Stolarick says the sample is probably skewed towards the young (and tech-savvy), but it certainly is a bit of fun!

September 24, 2009

Crime hotspots across Toronto neighbourhoods

(October 29, 2012 Update: CBC release of police crime data by type and neighbourhood)

Today, Stats Can released a hot product: a report on crime in Toronto.  Even though we are one of the safer metropolitan areas on the continent, Neighbourhood Characteristics and the Distribution of Police-reported Crime in the City of Toronto is sure to draw some attention.

Produced by Mathieu Charron at the Canadian Centre for Crime Statistics, the report looks at the location of reported crimes and the characteristics of the neighbourhoods in which they occurred.

The data, drawn from Statistic Canada’s Uniform Crime Reporting Survey (UCR)  “reflect reported crime that has been substantiated by police.” 106,175 incidents were clustered and mapped across the city.

The reports differentiates between violent crime and property crime, finding different correlations. The pattern shows that low-income and nearby neighbourhoods are more likely to suffer spillover effects.

Dividing crimes into violent and property ones, the report found:

  • Neighbourhoods with higher violent crime rates tend to have less access to resources. Education level of residents was one of the best predictors of such access.These neighbourhoods also tended to be “densely populated and have a higher percentage of residents living in multi-unit dwellings” (the tall towers which are the focus of the Mayor’s renewal efforts.) These neighbourhoods are also more likely to have more children, more single-parent families, more renters, and more people of colour.
  • Property crime (theft, break & enter) is concentrated around shopping centres, both large and small, in commercial districts, and in neighbourhoods around these places. Areas with high levels of education or a high portion of manufacturing and office jobs were less likely to report property crime.

Criminologists recognize the spatial patterns of crime. Crime comes in hot spots around the city. Mapping out various criminal activities, the report’s spatial crime patterns follow the same deprivation “U” which marks less privileged areas of the city. Densely populated cores, transportation and shopping hubs, which all draw large numbers of people, tended to report higher crime rates.

The report does not rank or rate specific neighbourhoods, however it did describe “some hot spots…Danforth, downtown east side, and the intersections of Lawrence and Morningside, Jane and Finch, and Jane and Eglinton.”

Here, for those who like the gory details, is what I could see on the maps. The highest levels of crime clustered in the following places:

  • Breaking & Entering: Downsview, Bridle Path, Lawrence Park,Don Mills
  • Drug offense: Jane-Finch, York, Dufferin Grove, Parkdale, New Toronto/Mimico, Trinity-Bellwoods, Regent Park, Greenwood- Woodbine, Crescent Town, Birchcliff, Cliffcrest, Scarborough Village, Kingston-Gallow, Woburn.
  • Major Assault: Jane-Finch, Jane-401, York, Downtown west & east, Lawrence-Kingston Road.
  • Minor Assault: Rexdale, Jane-FinchDownsview, Jane-401, Dufferin-Bloor, Parkdale, Don River-Gerrard, Danforth, Kingston Road, Woburn, Malvern
  • Mischief:  Riverdale, Cabbage Town, York, Morningside/Highland Creek.
  • Motor Vehicle Theft: Etobicoke, Scarborough (where car ownership rates are higher)
  • Robbery: Rexdale, Jane-Finch, Jane-Sheperd, York, Danforth, Woburn
  • Sexual Assault: Rexdale, Jane-Finch, Jane-401, High Park, Bloor-Danforth, Kingston Road
  • Theft: Dispersed along waterfront and main roads
  • Theft from Motor Vehicle: Pearson Airport, Willowdale, High Park, Downtown (west & east), Riverdale, University of Toronto, Scarborough

In contrast, the city’s financial district and the north end of Yonge Street were identified as areas with lower rates of violence. In essence, the central neighbourhoods of the city are higher-income and safer areas, while neighbourhoods with poor physical infrastructure and social resources were more likely to have higher levels of police involvement.

So, the final word probably best belongs to Canadian housing activist Michael Shapcott who wryly noted in his Twitter feed about the study, “Plenty of crime in rich, white neighbourhoods (fraud, tax cheating, ‘white collar’), it just doesn’t get policed/reported.”

read more »

September 12, 2009

Defining race (and racism) in the TDSB Learning Opportunity Index

The Learning Opportunities Index (LOI) is one of the Toronto District School Board’s key tools for directing resources to the neediest students in the system. Therefore, it’s vital that the index measure deprivation accurately and reliably.

The newly modified LOI dropped less predictive measures of student performance, such as average income, housing type, and immigration status and now includes variables which are better able to measure poverty. Of the new variables, the most powerful are “families on social assistance” and families in the bottom income quartile (as measured by the LIM).

Trustees bite the bullet

So, even though some schools shifted down the ranking and would now potentially lose resources, Trustees (or most of them) bit the bullet and voted to adopt the new instrument.

Still there were some misgivings.

For instance, in terms of external challenges, critical race scholars in the U.S.A. have shown race and poverty have separate effects on student achievement. That, even when income and other demographic characteristics are controlled for, students of different racial identities perform differently within the American school system. This finding has been used, reasonably, as the basis for the creation of Africentric and other race-based schools.

When the new LOI removed the variable of immigration status — often conflated with race in the Canadian context —, the TDSB faced the problem that race, in any form, had been excised. The LOI faced the critique it had been homogenized, to the detriment of its mission of accurately measuring external challenges, and to the detriment, especially, of black students.

So the Board asked the LOI review committee (of which I am a member) to also examine how and whether race should be included in the LOI.

A question for policy wonks or for research geeks

Given the range of views on the question, perhaps the task is really better suited for politicians and policy wonks than for statisticians and research geeks.

However, the review committee has begun its review. We will look at the broader literature, and we will test the utility and strength of any new race-based variable within the Toronto context.

A problem of definition

The first problem has been trying to figure out how to approach the problem.

For instance, producing an accurate description of the term”race” is tricky because race is a social, rather than a biological construction. Its definition and boundaries are blurry and ever–changing. Statistics Canada doesn’t even use the term, but instead says “visible minority” — a bare truth in Toronto — for anyone who has a heritage other than white.

Yet, within the Toronto context, when we compare the performance of “visible minority” students against that of their white peers, there are only subtle differences, sometimes in favour of students of colour. “Visible minority” status alone is not correlated to students’ academic performance. And, that’s a relief. In fact, it’s as it should be.

However, others remind us, we know there are differences between some racial groups.

So we have to explore the term further. Some advocates have been quite clear, we need to stop skirting the issue and name the problem of academic underachievement as one of Black and Aboriginal students, and a few other historically–disadvantaged groups. If we are prepared to do that, academic interventions can be better targetted.

Reliable school–level data

So, if this is the next step, to look at particular racial groups, can we get reliable school-level data? (School–level data is needed to calculate the LOI so that each school can be accurately assessed and ranked in comparison to the others.)

The school board census is the obvious answer. Among its many questions, the TDSB’s student/parent census asked respondents to identify their racial background. However, this won’t work for the LOI.

While useful at a system– or even ward–level, the census data won’t allow reliable comparisons at the school level. For example, some schools had a high non-response rate (students wrote in “Martian” as their answer to the question of their racial background, and various classes never even did the census). The census also happened long enough ago that it no longer supplies a current picture of the Board’s students.

Ranking and weighting races

Ethnic origin might be another usable category from Statistics Canada data, and one which may give more subtlety to the analysis.

Board research has shown that groups of students born in various parts of the world perform differently. Should we parse, weight and rank the value of my children’s English⁄Celtic heritage against their Chinese heritage? (As the discussion unfolds, one can’t help but feel like the evolutionary psychologist University of Western Ontario professor, Philippe Rushton wading into the world of measuring head size to explain intelligence.)

What are we trying to measure? And where does ethnicity blend into culture or language?

And, in the end, does the Board have the stomach to rank one ethnic group against another in the allocation of scarce resources?

Fixed identities

This exercise is different from research which shows different outcomes for students who have already gone through the education system. In this exercise, we are saying that because a student comes from a specific racial background, a priori,  we will award additional resources. We are pre-judging their performance.

The awkwardness of this is that a student’s racial background is different from all the other measures currently used within the LOI because race is fixed. All the other measures, such as parental marital status, education level, and income, can be changed, even re-mediated through social policy and individual effort.

Measuring racism rather than race

Perhaps then, more accurately, this quest to measure the impact of race should be more fittingly seen as a quest to measure racism. We should be measuring the disadvantage which led to the poor environment which created the external challenge some students face. Those who argue for reparations would argue for such.

So, then, the questions becomes, how to measure this.

Use a geographic lens

There is no general “measure of racism” which we can easily access to measure how Toronto students are doing in school. So this is where geography can help. We may well be looking for a measure of concentrated disadvantage or a measure of a neighbourhood peer effect.

Racism creates the inequitable conditions whereby students of colour are more likely live in poor neighbourhoods with low levels of education, fractured families, and little access to good jobs — all variables now included in the LOI and which make it a strong measure of external challenge.

Neighbourhoods may well be the key driver in a student’s performance. And it’s a premise which has some credence.

In 2005, Robert Sampson at Harvard (one of my favourite researchers), investigated the connection between race and violence; he found that the main differences between different racial groups’ levels of violence were explained by demographics and neighbourhood conditions. He recommended that interventions which “improved neighbourhood conditions and support families” would be the most effective way to reduce violence.

Sampson also found that neighbourhood distress was inversely related to the number of workers in professional occupations and the proportion of married parents. Higher levels of recent immigrants also had a dampening effect on violence. Tom Carter, at the University of Winnipeg, has cited research supporting similar conclusions in his studies on the inner city.

In effect, what looked like racial differences were actually problems rooted in poverty and deprivation.

Furthermore, an American study found that while racial segregation has been declining, educational segregation has increased. So neighbourhoods are more divided along, arguably, class lines than racial ones. (I don’t know of a similar study in a Canadian urban centre.)

More to thresh out

In the end, what seemed like an easy question may have a complex answer.

read more »

August 8, 2009

Mapping tools add new dimensions to social demographics

Less than a decade ago, easy access to Geographic Information Systems (GIS) caused a paradigm shift  in how we understand demographic data. GIS and spatial analyses have, literally, added new dimensions to our understanding of social landscapes.

Tools to map social data have shifted rapidly through the following stages (note: these are my labels, not some broadly recognized system).

Static maps

Static maps are the ones we remember from our classrooms, hung on the blackboard or tucked into the beginning of our Scholastic Atlases of Canada; inscribed with dozens of symbols which needed to be deciphered with the legends, they covered a range of topics including topographic, climatic zones, agricultural, industry. They were draw by experts.

GIS–enhanced maps

When GIS software appeared, it furnished a way for social scientists to re-examine their stores of demographic data. Instead of comparing along a dimension of time or between similar populations, GIS introduced a way to look at the complex way in which multiple factors overlap and interact within a physical space, the lived world of their “subjects.” GIS capabilities allow social scientists across a wide range of disciplines to add spatial analysis to their analytic toolboxes.

An excellent early example of this stage was The Canadian Council of Social Development and United Way of (Greater) Toronto’s Poverty by Postal Code report in 2004. It looked at the concentration of poverty by neighbourhood, or specifically census tracts, over three decades in Toronto. Professor David Hulchanski’s work through the CURA with St. Christopher’s House on the subject of neighbourhood change and gentrification, has produced similar maps over an even longer time period.

The Toronto Police crime data maps and Toronto Public Health maps do this as well. The maps are static, but the information is conveyed in new and easier to understand ways.

What became apparent from these new analyses is the complex way social problems interact. For instance, Poverty by Postal Code sparked further debate about the importance of neighbourhoods and place-based strategies. United Way and the City established the Strong Neighbourhoods Taskforce, which by mapping proximity to service against social need, sparked new planning priorities.

Web 1.0 maps

Web 1.0 maps moved mapping off computer desktops and onto the internet, allowing broader interactivity. With Web 1.0 technology, viewers are able to move through pre-mapped⁄pre-coded data to find answers (sometimes) to their own questions. Good local examples of these are:

  • Settlement.org’s Close to Home maps of 211 Ontario data, allowing newcomers to search for services closest to their residence/place of work.
  • City of Toronto developed MapIt, an interactive map which allows viewers to select what city services should be shown on the map and then to zoom to an area of interest.

Statistics Canada data has been incorporated into several Web 1.0 vehicles to make accessing it more interesting than looking at a set of dry tables. Several Canadian examples exist, and many of these are incorporating other data sources as well:

  • The Canadian Council on Social Development has established a national platform through its data liberation initiative for municipalities and non-profit agencies. The Canadian Social Data Strategy has a public front door and an area for local agencies to have access to further data.
  • Although requiring registration and log-in, the Canadian Mothercraft Society has also built a very usable platform for community agencies to select and map out data in their areas of interest.
  • The Government of Newfoundland & Labrador led Canadian provinces in establishing Community Accounts, a web-based map system which produces local profiles upon a range of factors which may be selected by the site visitor. Nova Scotia has followed suit.
  • The Toronto Star has a blog and staff dedicated to mapping newsworthy social issues.
  • Using a democratizing Google mash-up, the creative Baby Name Map was established in Calgary.

Web 2.0 maps

Web 2.0 mapping is taking GIS interactive. (Web 2.0 engages internet surfers in two-way information exchanges, so that they can add information as well as get it.)

I have been able to identify several ways this is done in mapping:

Open Source GIS: The power of mapping technologies has, in this initial period, remained concentrated in the hands of experts who have access to software which can cost thousands of dollars. Several open source software are emerging and refining to the point that GIS software will become more available to everyone. Grass is one of the most preeminent ones. My Maps on Google Maps also give easy access to people to map their own worlds.

Crowd-sourcing: This method farms out work, realizing on the small contributions of many to make sense of complex problems. For instance, Industry Canadainvited Canadians to submit information about their broadband access which could then be mapped out across Canada to identify areas with significant service gaps.

Community mapping: Google maps are some of the frequent examples of interactive mapping. Family Service Toronto is working with Waterloo’s Comap to launch a community mapping initiative in the Teasdale-O’Connor neighbourhood, which will invite local agencies and residents to contribute and shape the maps of the neighbourhood.

 

Real-time: Real-time mapping is still emergent. For example, an iPhone app uses GPS to update your location to selected friends and family.  Twittervision and celebrity-stalking websites like Gawker’s Stalker are powerful because they add a geographic scale to the information shared.

Other good examples and methods are continuing to emerge. Please feel free to share other good examples!

read more »

July 18, 2009

Mapping jail and university admissions

The results are in from the stellar Toronto Star team again. This week-end, they released two sets of maps, in many ways the obverse of each other:

The latter map is the result of a court order, as described in a previous post and a strong contribution to  the argument for place-based interventions. Our thanks to them.

The maps looking at university admissions also support the work being done by the Toronto District School Board’s researchers who have mapped university applications and other academic indicators by neighbourhood.

These unsettling maps lay how applicants to one of the most prestigious universities in Canada live in different worlds than the the places where people are being jailed. Opportunities are literally mapped out.

The co-incidental (?) and simultaneous release of maps is evocative of the statistic that, in many American inner cities, there are more young men in jail than in college or university.

I’ll look at more of the details in these maps in another post.

June 11, 2009

Canadian Index of Wellbeing launched

Roy Romanow entered the room to waves of applause. The early morning crowd had grabbed a muffin or some fruit and were now visiting between tables as they waited for the early morning launch of the new Canadian Index of Wellbeing (CIW).

Annie Kidder from People for Education chatted with John Ralston Saul (who reminded Canadians recently of Peace, Order and Well-being). Wellesley’s Institute’s Michael Shapcott twittered about the event from the back. Three funders (United Way Toronto, Maytree Foundation and Toronto Community Foundation) sat together chatting with a reporter.

Researcher geeks from across the country clapped each other on the back and hugged. Activists were almost jovial. They were here to see the launch of a new tool which, as one speaker said, would set aside the measurement of wealth and economic growth for the measurement of happiness.

Romanow’s opening comment caught the sentiment of the moment, reminded all that the historic St. Lawrence Hall, where the launch was being held, was where some of the very fathers of Confederation had gathered in the 18o0s.

The CIW will cover 8  domains; yesterday, three of those categories were launched: Living Standards, Healthy Populations, and Community Vitality.

Reports on the other domains will emerge as they are prepared. They include:

When the Atkinson Foundation set out to introduce this measure, the task seemed unwieldy and ambitious. Yet workgroups were formed, academics were pulled in, and consultations had.

Today, the CIW is everything it needed to be.

Questioners after the presentation quickly saw its strengths, looking to see how the Index could be used for different geographies, different populations and to develop policy solutions.

Indeed, one of the wisest parts of the the new CIW’s inauguration, because it assures further sustainability, is the simultaneous launch of an Institute of Wellbeing, in association with the University of Waterloo and Social Innovation Generation.

The CIW has a real chance of making a meaningful impact on the way we see our communities. Bravo!

read more »

June 5, 2009

Crime and social cohesion in Toronto neighbourhoods

Neighbourhood social cohesion has gotten some recent media attention in Toronto.

Presenting recently at 2009 Canadian Association of Geographers, Ryerson professor Sarah Thompson caught the attention of the National Post.

Co-author with Professor Rosemary Gartner, they have been able to map out “The spatial distribution of homicide in Toronto’s neighborhoods, 1988 – 2003” and to do some preliminary analysis on the difference between high homicide and low homicide neighbourhoods.

“Measures of neighborhood-level socio-economic disadvantage and the proportion of residents who were young males were the most consistent correlates of neighbourhood-level homicide counts,” according to their research.

At this point, more analysis is needed, however speculation on other reasons for the differences includes the level of community services available locally and the social cohesion in the neighbourhood.  It’s an exciting start.

United Ways Toronto and Peel are also bringing some attention to the issue of social cohesion. They’ve invited Garland Yates, a Senior Associate at the Annie E. Casey Foundation, to speak at their Annual General Meetings. He has been working with the United Way Toronto’s resident engagement project, Action for Neighbourhood Change, for the past three years.

CBC Metro Morning’s Andy Barrie interviewed him this week while he was in town. (The man does not mind getting up early when he travels, three mornings in a row.)

When pushed by Barry to move past the platitudes of “facilitating” and “enabling” and to explain what could be done to strengthen social networks, Yates rose to the challenge, explaining the messy and unorganized ways that social networks function and social cohesion builds:

“First of all…social networks are pretty organic…I remember when growing up my mother and others would do things for each other, like each other’s hair.

“I don’t think it is necessarily about creating [social networks], and we have to be careful, as well, not to overprofessionalize them.

“Where there are natural tendencies of people to relate and interact with each other…that relate to welfare and improvement of the neighbourhood, we ought to just encourage them.

“A kind of simplistic way of putting it is, is that if we have resources we should invest those resources in activities that get people to interact and not necessarily in a program structure.”

CBC Metro Morning, June 3, 2009

Upon reflection, the implications of both these presentations call for further exploration of the role of community agencies in the strengthening of neighbourhoods. Community service agencies formalize the supports that used to have to be provided by social networks, yet, in our complex, densely-populated communities, neither can replace the other.

And speaking of the The National Post, it’s doing some great Toronto-focused profiles of the city:

  • A series since the beginning of May, Peter Kuitenbrouwer’s Walk Across Toronto has focused on the wide range of neighbourhoods outside the downtown (and predictable, as he terms it) city core.
  • A weekly series called Toronto, A to Z, profiling interesting corners of the city. They are up to the letter M now.
  • 95 (and counting) separate profiles entitled My Toronto by “famous” sons and daughters of the city.

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June 1, 2009

2006 Toronto demographics

Map of Toronto

Image via Wikipedia

If you are feeling like a real demographic data geek, you’ll enjoy this presentation titled, Demographics of Toronto: A visual presentation of population sub-groups. It was assembled for a Toronto consortium meeting of the Canadian Social Data Strategy by Harvey Low, the City’s planning analyst who convenes the group of community agencies and city divisions.

Topics include 2006 census variables on population and age variables, immigration, and income. There is also a draft of a “mosaic indicator” to measure diversity and the degree to which Toronto neighbourhoods are ethnic enclaves.

If you are looking for more specific data, take a look at the links on the side of this blog. They include links to a range of sites. Particularly interesting is the City of Toronto’s Toronto-wide and neighbourhood level data across a range of domains.

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