Casino City's North American Gaming Almanac - 2024 Edition Sample Pages

Assumptions and Methodology 968 Casino City’s North American Gaming Almanac September 2008 0.946041 September 2009 0.924419 October 2008 0.850133 October 2009 0.947744 November 2008 0.818622 November 2009 0.943053 December 2008 0.809430 December 2009 0.948718 January 2010 0.957573 January 2011 1.005652 February 2010 0.946818 February 2011 1.013123 March 2010 0.977658 March 2011 1.023576 April 2010 0.994353 April 2011 1.044610 May 2010 0.961676 May 2011 1.033316 June 2010 0.963343 June 2011 1.022757 July 2010 0.958501 July 2011 1.046362 August 2010 0.960921 August 2011 1.018096 September 2010 0.967305 September 2011 0.999626 October 2010 0.982123 October 2011 0.980759 November 2010 0.987481 November 2011 0.975076 December 2010 0.992247 December 2011 0.977546 January 2012 0.986281 January 2013 1.008138 February 2012 1.002409 February 2013 0.991941 March 2012 1.006562 March 2013 0.976640 April 2012 1.007250 April 2013 0.981769 May 2012 0.990324 May 2013 0.980408 June 2012 0.972845 June 2013 0.968731 July 2012 0.986630 July 2013 0.960900 August 2012 1.007143 August 2013 0.961527 September 2012 1.021574 September 2013 0.965391 October 2012 1.013357 October 2013 0.965290 November 2012 1.002869 November 2013 0.953820 December 2012 1.009651 December 2013 0.940008 January 2014 0.916033 January 2015 0.827849 February 2014 0.904517 February 2015 0.799247 March 2014 0.900157 March 2015 0.792683 April 2014 0.909337 April 2015 0.809677 May 2014 0.918074 May 2015 0.821016 June 2014 0.924060 June 2015 0.809507 July 2014 0.931436 July 2015 0.779172 August 2014 0.915418 August 2015 0.760910 September 2014 0.908266 September 2015 0.753599 October 2014 0.891161 October 2015 0.765336 November 2014 0.883225 November 2015 0.752926 December 2014 0.866170 December 2015 0.729379 January 2016 0.705030 January 2017 0.756905 February 2016 0.725261 February 2017 0.763151 March 2016 0.756611 March 2017 0.747205 April 2016 0.779461 April 2017 0.744120 May 2016 0.772692 May 2017 0.735541 June 2016 0.775646 June 2017 0.751413 July 2016 0.767497 July 2017 0.787681 August 2016 0.769344 August 2017 0.793381 September 2016 0.763865 September 2017 0.813395 October 2016 0.754825 October 2017 0.793864 November 2016 0.743206 November 2017 0.783851 December 2016 0.748990 December 2017 0.783899 January 2018 0.804463 January 2019 0.751841 February 2018 0.795208 February 2019 0.757529 March 2018 0.773538 March 2019 0.748145 April 2018 0.784839 April 2019 0.747227 May 2018 0.776845 May 2019 0.743130 June 2018 0.762178 June 2019 0.752366 July 2018 0.761649 July 2019 0.763380 August 2018 0.766598 August 2019 0.753294 September 2018 0.767602 September 2019 0.755110 October 2018 0.767760 October 2019 0.758304 November 2018 0.758480 November 2019 0.755456 December 2018 0.743558 December 2019 0.759373 January 2020 0.764624 January 2021 0.785706 February 2020 0.752852 February 2021 0.787593 March 2020 0.717999 March 2021 0.795469 April 2020 0.711500 April 2021 0.799853 May 2020 0.714742 May 2021 0.824667 June 2020 0.737672 June 2021 0.817538 July 2020 0.740224 July 2021 0.799428 August 2020 0.755333 August 2021 0.793558 September 2020 0.756634 September 2021 0.789364 October 2020 0.757095 October 2021 0.803735 November 2020 0.764641 November 2021 0.795109 December 2020 0.780745 December 2021 0.781241 January 2022 0.791904 January 2023 0.745170 February 2022 0.785782 February 2023 0.743099 March 2022 0.790610 March 2023 0.729927 April 2022 0.791528 April 2023 0.739846 May 2022 0.778567 May 2023 0.739188 June 2022 0.780270 June 2023 0.752593 July 2022 0.773611 July 2023 0.755863 August 2022 0.773582 August 2023 0.741602 September 2022 0.751353 September 2023 0.738000 October 2022 0.729711 October 2023 0.729242 November 2022 0.744872 November 2023 0.729553 December 2022 0.350097 December 2023 0.745737 Inflation Adjustment Inflation-adjusted revenue figures in the United States are based on the United States Bureau of Labor Statistics’ consumer price index for all urban consumers (CPI-U) without seasonal adjustment. In Canada, inflation-adjusted revenue figures are based on the Bank of Canada’s consumer price index. All inflation-adjusted figures in the almanac are expressed in December 2023 dollars. The inflation adjustment factor for a given month is calculated as the consumer price index value for December 2023 divided by the consumer price index value for the month. When underlying revenue data covers a period spanning more than one month, inflation-adjusted revenue is determined by first allocating a pro-rata portion of the revenue to each month in the covered period and then adding together the separately calculated inflation-adjusted revenue attributable to each month. The following table shows the raw consumer price indices (CPI) for Canada and the United States by month, for the years 2000 to 2023, together with the corresponding inflation adjustment factor (IAF).

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