Getting to know Canada's nonprofit sector: why we need better data
The working group’s mandate is to:
The working group’s mandate is to:
On September 13, 2017, Statistics Canada will release the fourth wave of data from the 2016 Census, covering income. For the first time, the 2016 Census gathered income information solely from administrative sources (tax records) and will be based on the entire population rather than a sampling. This change means the income data will be much more accurate, particularly for small geographic areas. In addition, StatsCan will release new data on contributions to government programs such as Registered Retirement Savings plans and tax-free savings accounts.
We now have 2015 taxfiler data!
Family tables:
The Government of Canada initiative on Measuring Poverty Reduction wants to work together to reduce poverty in Canada. In support of this, the CDP team has prepared an indicator review document!
Introduction:
Individuals who have both a mental and substance use disorder at the same time are more likely to experience poor psychological health, use more health services and report unmet needs than a person with only one type of disorder.
Powered by Data has just published a set of reports based on the discussions at Transform the Sector 2017.
On August 2, Statistics Canada will release the third wave of data from the 2016 Census, covering families, households, marital status and language. In his third webinar in an ongoing series examining census results, demographic expert Dr. Doug Norris will discuss the new data and its implications to businesses, government agencies and not-for-profits.
Digital literacy goes beyond data management, statistics, and visualization - it drives the impact investment movement, social media for good efforts, and collective evaluation and evidence-based decision making efforts!
Read Lucy Bernholz's article on Digital Literacy here: Digital Literacy: A Core Capacity for 21st Century Nonprofits
Ed Manley, an urban researcher in the UK, decided to take open data from Winnipeg and make dot density maps. One shows variation in ethnicity, one shows linguistic variation, and another shows income disparity.