ition of broadband. Figures 1-24 and 1-25 display this information graphi- cally. Supplementary Table 1-11 depicts this information in terms of percentage splits of total revenue over the years. Below the black line, the table computes the number of broadband con- nections that correspond to the cumulative number, assuming a typical TLS charge of $4,500. Some TLS services could cost less and some could cost more; $4,500 represents a value averaged over a set of 34 services at a typ- ical metro service provider. This figure is eroded over time at 15 percent per year in the model. Next we show the number of broadband-ready buildings Figure 1-24 Revenue allocation (2002). Figure 1-25 Revenue allocation (2006). Chapter 1 Table 1-11 Percentage Splits of Total Revenue over Low end Sub-T1 57.07% 54.95% 52.71% 50.35% 47.87% the Years Mid end 28.54% 28.92% 29.20% 29.36% 29.39% High end T3 (also E) 7.13% 7.61% 8.09% 8.56% 9.02% OC-3 (FE) 3.57% 4.01% 4.48% 4.99% 5.54% OC-12 1.78% 2.11% 2.48% 2.91% 3.40% Very high end OC-24 (GbE) 1.27% 1.58% 1.96% 2.42% 2.97% OC-192 (10 GbE) 0.63% 0.83% 1.08% 1.41% 1.82% based on data from CIR, Cisco Systems, NGN Ventures 2001, and other sources. Notice that there is a compound annual growth rate (CAGR) of 15.5 percent. We then show the average number of fibered buildings in cities by assuming that the top 30 cities in the United States have half the fibered buildings, and that the next 60 cities have the other half of the fibered buildings. This information, in turn, enables us to heuristically cal- culate the number of broadband orders for two tiers of cities: the top 30 cities, and then the next 60 cities. Finally, we derive an average of the number of broadband customers per building, which we believe is one of the most pertinent parameters to estab- lish. For example, we see that in 2002 there are, according to these deriva- tions, 5 broadband customers per building and 11 in 2006. It is assumed that the carrier that has first access to the building will capture 50 percent of the custom