-2016. Reproduced with permission of The Mobile World. Ordinary Phones Other Smartphones iPhones Laptop Devices iPAD & Other Handheld Figure 4.3 Global mobile device population 2010 to 2016. Reproduced with permission of The Mobile World. Making Telecoms Work Ordinary Phones Other Smartphones iPhones iPAD & Other Handheld Laptop Devices Figure 4.4 Mobile device sales by type 2010 to 2016. Reproduced with permission of The Mobile World. fast-growing economies are willing to spend a larger percentage of their monthly income on mobile connectivity both for practical reasons and as a demonstrable token of ambition and/or success. Some developing countries also have high multiple-occupancy ratios, the num- ber of people living in one household, which means that the disposable income available for this type of discretionary spending is higher than might be expected. This shift in product mix is also having a significant impact on offered traffic. An ordi- nary phone supporting predominantly voice and text will typically generate an average of 30 megabytes or SO of offered traffic per month. A smart phone will generate between 300 and 500 megabytes and a lap top with mobile broadband connectivity about 2 gigabytes. The result in many markets is that data volumes are presently quadrupling on an annual basis. Most forecasts, including our own, have been underestimating the rate of growth and present forecasts may also prove overconservative. Figures 4.5 and 4.6 takes the unit volumes and offered traffic data points and calculates the offered traffic on a per device basis. Note that data volume does not necessarily translate into data value particularly in markets where 'all you can eat' tariffs are supported. This is because a high data user can inflict significant collateral damage to other users in the cell. This in turn creates an opportunity cost that in a percentage of cases will be higher than the income generated from the device. Traditionally users/subscribers have been analysed by network operators in terms of av