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From Gap to Chasm

Alberta’s Increasing Income Inequality

From Gap to Chasm

The 2015/16 Alberta provincial budget introduced on March 26, 2015 by Finance Minister Robin Campbell focused on addressing the budget shortfall precipitated by the dramatic drop in global oil prices which started in late 2014. With government attention concentrated on plugging the “$7 billion hole,” little attention was given in the budget to tackling another pressing issue in Alberta: high, and growing, levels of income inequality.

This report analyzes the reality of income inequality in Alberta—the worst in Canada—and how the province’s personal income tax (PIT) structure is contributing to the growing gap between the rich and the poor in the province.

Income Distribution Measures

There are two types of income inequality measures. The most commonly used measure is the Gini index (also referred to as the Gini coefficient). The Gini index measures the income distribution throughout the entire income range. The other type of measure shows income distribution at various points of the income range, for example, shares of income or percentile ratios. Shares of income by percentile provide a picture of inequality at specific points in the income distribution, by comparing, for instance, the income of the top 10% of the population to that of the bottom 10% of the population.1

The Gini Index

The Gini index ranges from zero (0) to one (1), the theoretical limits. A Gini coefficient of zero would indicate perfect equality of income distribution; a coefficient of one would mean one individual (or household) receives all the income and everyone else receives no income. Therefore, the higher the index the less income equality (more inequality), and the lower the number the more equal the income distribution is. It is important to note that small differences in the Gini index indicate considerable income equality differences.2

Statistics Canada records the total income on which individuals or economic families are assessed income tax.3 Chart 1 shows the Gini indexes for Canada and each province for 1990 and 2011 (the most recent data available). The change between 1990 and 2011 is illustrated by the change for each jurisdiction.

CHART 1: Gini Indexes for Canada and Canadian Provinces (Before Tax)

Gini Indexes for Canada and Canadian Provinces (Before Tax)

In 1990 Alberta had the same Gini index as Canada (0.317/0.318) and Saskatchewan at 0.341 was the highest, meaning it was the province with the greatest inequality of income. By 2011 all jurisdictions except Saskatchewan had seen increased levels of inequality. Alberta, at 0.370, had the highest Gini index in the country, and considerably higher than Canada as a whole, at 0.344.

Alberta also had the greatest change between 1990 and 2011, with a 0.052 increase compared to Canada’s increase of 0.027.

In other words, Alberta’s income distribution had become significantly less equal compared to the other provinces and to Canada as a whole over this period, and by 2011 incomes in Alberta were the most unequal of any province in the country.

The effect of taxation is illustrated in Chart 2, where the same columns are shown, now using after-tax incomes.4 If personal income taxes (PIT) were perfectly proportional then the income distribution would not be changed from the distribution seen in Chart 1 by introducing taxes. Other public policies of redistribution through transfers of cash or income in kind can still change the net distribution to greater equality; however, progressive tax systems inherently increase equality by taxing a greater proportion of income from higher income earners.

Chart 2: Gini Indexes for Canada and Canadian Provinces (After Tax)

Chart 2: Gini Indexes for Canada and Canadian Provinces (After Tax)

Chart 2 shows the Gini index numbers for after-tax income for Canada and each province. The Gini index for after-tax income again shows a general movement away from equality between 1990 and 2011 for all jurisdictions except Saskatchewan. This is a major issue in itself that is beyond the scope of this report. The after-tax Gini coefficient for Alberta in 1990 was somewhat higher than for Canada—0.283 compared to 0.278. Canada as a whole and each province except Saskatchewan had become less equal by 2011. Once again, the rise in inequality in Alberta by 2011 was the greatest by far compared to all other provinces, rising by 0.045 (to 0.328), an increase almost twice as much as the national increase of 0.024 (to 0.302).

In other words, when compared to the rest of Canada, Alberta has the greatest inequality of income and the province’s single-rate personal tax structure (commonly called a “flat tax”) means Alberta has the smallest improvement in levels of income equality through taxation.

Income Shares

The second approach to measure income inequality is to consider income shares. Chart 3 illustrates that the share of total income going to the top 10% of income earners in Alberta went from 31.5% in 1992 to a peak of 40.5% in 2007 (prior to the recession), a 29% increase in just 15 years. The bottom half (50%) of income earners in Alberta went from receiving over 18% of income in 1992 to just 15.9% of total income in 2012. Although Canada (including Alberta) also shows increasing inequality, it is much less pronounced than in Alberta.

Chart 3: Selected Income Shares in Alberta and Canada5

Chart 3: Selected Income Shares in Alberta and Canada


These two approaches of illustrating changes in income distribution indicate increasing levels of inequality of income in Alberta, and reveal that there is a greater degree of income inequality in Alberta compared to the rest of Canada.

The federal income tax rate structure is applied equally to all Canadians (except Québec). This rate scheme has a graduated set of marginal tax rates with the highest rate equal to 29%; provincial rates are much less than this, and thus are each progressive to different degrees. Therefore, the changes in the after-tax Gini indexes illustrated in Chart 2 are largely influenced by provincial personal income tax rates. Alberta is currently the only province in Canada with a single-rate tax structure; however, if the proposed 2015 budget is approved following the provincial election, Alberta will also have a weakly progressive PIT.

Progressive income taxes play an important role in achieving a more equal distribution of after-tax income. Alberta’s tax policies, specifically the move starting in 2001 to the single-rate 10% tax, have contributed to increased income inequality in the province, as compared to the rest of Canada.

Therefore, the Alberta government needs to raise income tax rates not only to support current public expenditures and to stabilize the province’s revenues, it also needs to address fairness by bringing back a strongly progressive rate structure in order to shift the tax burden on to those most able to pay, and simultaneously improve the equality of after-tax income.


1. OECD 2012, “Income inequality and growth: The role of taxes and transfers”, OECD Economics Department Policy Notes, No. 9., January 2012.

2. Statistics Canada reports, even though a single Gini coefficient value has no simple interpretation, comparisons of the level over time or between populations are very straightforward: the higher the coefficient, the higher the inequality of the distribution, and vice versa.

3. An economic family is defined as a group of two or more persons who live in the same dwelling and are related to each other by blood, marriage, common law, or adoption. An unattached individual is a person living either alone or with others to whom he or she is unrelated, such as roommates or a lodger. Source: Statistics Canada definitions.

4. Statistics Canada, Table202-0709 - Gini coefficients of market, total and after-tax income of individuals, where each individual is represented by their adjusted household income, by economic family type, annual (number), CANSIM (database). Accessed April 15, 2015.

5. Statistics Canada. Table 204-0002 - High income trends of tax filers in Canada, provinces and census metropolitan areas (CMA), specific geographic area thresholds, annual (percent unless otherwise noted). Accessed April 15, 2015.

Greg Flanagan

Greg Flanagan is a public finance economist with an MES (Political Economy and the Environment) from York University, and MA (Economics) from the University of British Columbia. Greg has taught and been in administration for 30 years in the Alberta post-secondary system, and recently retired from the University of Lethbridge. He has been involved with Parkland Institute since its inception as a board member, frequent researcher, and advocate; and is a distinguished research fellow.

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