Party policies are the main reason 46% of Yukoners selected the candidate they plan to vote for in this election. And economic/business policies are responsible for the largest group of those voters.
Across the Territory 46% are voting based on party policy, 36% for the candidate and 18% are voting against the current government. Rural residents and those employed in the private sector are more likely to be voting against the current government (22%) and more likely to be voting Yukon Party (43%).
The NDP, with 28% of Yukoners planning to vote for one of their candidates receives half of their support primarily because of their social policies.
Government employees are an important segment for both the NDP and the Liberal party, while the private sector generates a greater percentage of Yukon Party supporters. Within government employees, 45% plan to vote Liberal, compared to 30% of the private sector. 30% of government employees plan to vote NDP, compared to only 21% of the private sector. With the opposite trend, 44% of the private sector plan to vote Yukon Party, and only 21% of government employees plan to vote Yukon Party. Government employees placed greater importance on social policies compared to the private sector who placed greater importance on business policies.
In the communities voters tended to list “jobs” as the main issue, while Whitehorse residents tended to talk more about the economy in general.
Another big group of voters are those picking their candidate based on a local or specific issue. Half of the voters named at least one issue they had based their candidate decision on. In addition to the economy and jobs, those issues included: health care, education, environment, social issues, school buildings, roads, mining, child care and land claims.
These poll results are based on 728 surveys. Conducted by DataPath Systems between Oct 19 -27. The data is weighted to accurately represent Yukoners based on the community they live in, their age and gender. Percentages are statistically valid to +/- 3.5%, 19 times out of 20 (95% confidence) for Territorial-wide data. This information was based non-commissioned sections of this study, paid for by DataPath Systems.