Using Global Moran's I and Local Moran's I to find autocorrelation. Null hypothesis of Global Moran's I is the data set doesn't have autocorrelation. 

Population

16 to 34-year-old population and Median income per NYC Neighborhood Tabulation level are acquired from census 2010 the data is downloaded from GeoLytics.inc.  \cite{1970-2010} The fig.2 shows the population in NTAs level. While joining the census data 13 neighborhoods don't have the data that matched to NTAs level so the place is shown white color on Fig.2. Randomness is tested by Global Moran's I and the value is 0.083 which indicates weak autocorrelation. The P value is 0.032 so the null hypothesis, the population is randomly distributed on NTAs, is rejected and fig.3 corresponds the information.