How to phrase the results of a t-test? At work, a team I'm on is researching the differences between majority-African American census tracts and all other census tracts in my county. Here is an example of one of the T-tests that I ran in Excel:  

The mean of the median year-built for African American census tracts is 1976, as opposed to other census tract structures having a build date of around 1970. Obviously p < 0.05, so the difference in means is significant, but in my writeup, is it correct to say the following?  

In [name] county, statistically, majority-African American census tracts have newer structures. 

Or am I only able to use the phrasing below? 

Statistically, majority-African American census tracts have a different age of structures from non-majority-African American tracts, and on average they are newer.

I have about 12 attributes that the t-tests found statistically different, but I just need to know how to represent my findings clearly without being disingenuous with my conclusions. 
 A: I don't see that the second statement adds anything crucial to the first statement--if the finding shown in your table is reliable.
There are, however, some important cautions to consider before you make any statements.
First, I find analysis of the "mean of the median year-built" to be a bit awkward, and potentially a bit misleading as it doesn't take into account any different numbers of structures among the census tracts. 
Second, with the variances so similar it's not clear why you ran a test assuming unequal variances. Perhaps associated with that, it's not clear why with 182 observations (tracts?) your test reports only 77 degrees of freedom.
Third, as you are looking separately at 12 different attributes (probably even more, as what you say is that you found 12 to differ) you need to take into account the possibility of false-positive results arising from the multiple-comparisons problem. If you corrected for multiple comparisons it's not clear that the p = 0.043 value in your table would remain statistically significant.
