Breaking this down into components is apparently confusing the issue, as doing so loses the relative weight/contribution of each component to the total dollars flowing to insurers. The question was whether the amount of private dollars from business and households flowing into insurers is growing more quickly than the amount of dollars flowing from insurers to providers.
So just look at the growth in the combined total business + household dollars being paid to insurers (effectively a weighted average of the rows in the previous table).
Percent Growth from Previous Year
[table="width: 1000, class: grid"]
[tr]
[td][/td]
[td]
2000[/td]
[td]
2001[/td]
[td]
2002[/td]
[td]
2003[/td]
[td]
2004[/td]
[td]
2005[/td]
[td]
2006[/td]
[td]
2007[/td]
[td]
2008[/td]
[td]
2009[/td]
[td]
2010[/td]
[td]
2011[/td]
[td]
2012[/td]
[td]
2013[/td]
[td]
2014[/td]
[td]
2015[/td]
[/tr]
[tr]
[td]Private Health Insurance Payments to Providers[/td]
[td]
7.0
[/td]
[td]
9.4
[/td]
[td]
9.3
[/td]
[td]
7.8
[/td]
[td]
7.0
[/td]
[td]
6.4
[/td]
[td]
3.7
[/td]
[td]
5.4
[/td]
[td]
4.8
[/td]
[td]
4.7
[/td]
[td]
2.1
[/td]
[td]
3.7
[/td]
[td]
3.2
[/td]
[td]
1.5
[/td]
[td]
4.4
[/td]
[td]
7.1
[/td]
[/tr]
[tr]
[td]Total Business & Household Contributions to Insurers[/td]
[td]
9.6
[/td]
[td]
9.0
[/td]
[td]
11.2
[/td]
[td]
9.2
[/td]
[td]
6.4
[/td]
[td]
6.0
[/td]
[td]
3.8
[/td]
[td]
5.1
[/td]
[td]
3.8
[/td]
[td]
2.7
[/td]
[td]
2.0
[/td]
[td]
3.4
[/td]
[td]
4.4
[/td]
[td]
1.7
[/td]
[td]
3.3
[/td]
[td]
6.1
[/td]
[/tr]
[/table]
As I said, the two track each other. The "leader" seesaws back and forth as they pass and catch up to each other on a lagged basis. Growth in collections tracks growth in payouts, as one would expect.