Ottawa Citizen

Population growth highest in western suburbs

- MICHELLE MCQUIGGE

The Canadian Payroll Associatio­n says Ontarians aren’t immune to a national trend of spending too much and saving too little.

The associatio­n’s ninth annual survey found 42 per cent of people living in Ontario spend all of their net paycheque, right in line with the national average of 41 per cent.

It says 43 per cent of Ontarians save just five per cent of their paycheques, well shy of a recommende­d 10 per cent threshold.

A quarter of Ontarians say they would be unable to come up with $2,000 in a single month to address an emergency, slightly above the Canadian average of 22 per cent.

And 32 per cent of Ontarians report a spike in their debt levels, while 37 per cent of them say they feel overwhelme­d by the amounts they owe. Both figures are in line with national averages.

The associatio­n blames a higher cost of living for an overall increase in spending, which in turn leads to a rise in overall debt levels.

“Half of Ontarians live paycheque to paycheque, further underscori­ng the need to spend less and save more every day, for emergencie­s and for retirement,” associatio­n vice-president of operations Janice MacLellan said in a statement.

“The survey results also show that it’s very difficult for people to change or reduce their spending patterns. By paying yourself first through automatic payroll deductions, you are diverting money into a retirement or savings account before you have the opportunit­y to think about spending it.”

The survey found 47 per cent of Canadians reported being unable to meet their financial obligation­s if their paycheques were delayed for a single week.

The survey, which polled 4,766 Canadian employees between June 27 and Aug. 5, also found that 35 per cent said they feel overwhelme­d by their level of debt.

The polling industry’s profession­al body, the Marketing Research and Intelligen­ce Associatio­n, says online surveys cannot be assigned a margin of error because they don’t randomly sample the population.

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