{"id":430,"date":"2019-10-09T09:31:38","date_gmt":"2019-10-09T13:31:38","guid":{"rendered":"https:\/\/web.uri.edu\/rilife\/?page_id=430"},"modified":"2019-11-18T09:35:31","modified_gmt":"2019-11-18T14:35:31","slug":"economic-factors","status":"publish","type":"page","link":"https:\/\/web.uri.edu\/rilife\/topics\/economic-factors\/","title":{"rendered":"Economic Factors"},"content":{"rendered":"

Economic Factors<\/h1><\/div><\/div>
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This database contains information on all 39 cities and towns in Rhode Island, including life expectancy and other population health indicators, social and economic conditions, environmental characteristics, demographic information, crime, and other information. You can download the entire data set or filter the data for your own analysis.<\/p>\n

Rhode Island has a diverse economy, with a median household income of $58,073 in 2015 and a state unemployment rate of 3.8%. The Rhode Island state poverty rate in 2017 was 11.6%, ranking it just below the national rate.<\/p>\n

 <\/p>\n

\n
\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t
Highest violent crime rates (per 1,000)
\n<\/th>\n<\/tr>\n<\/thead>\n
Central Falls\t<\/td>24.6%
\n<\/td>\n<\/tr>\n
Providence\t<\/td>22.6%
\n<\/td>\n<\/tr>\n
Woonsocket\t<\/td>18.2%
\n<\/td>\n<\/tr>\n
Pawtucket\t<\/td>15.8%
\n<\/td>\n<\/tr>\n
West Warwick\t<\/td>7.4%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t
Highest violent crime rates (per 1,000)
\n<\/th>\n<\/tr>\n<\/thead>\n
Hopkinton\t<\/td>0.6%
\n<\/td>\n<\/tr>\n
Foster\t<\/td>0.8%
\n<\/td>\n<\/tr>\n
Exeter\t<\/td>1.3%
\n<\/td>\n<\/tr>\n
Richmond\t<\/td>1.8%
\n<\/td>\n<\/tr>\n
New Shoreham\t
\n<\/td>		1.9%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n
\n
\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t
Highest percent on public assistance
\n<\/th>\n<\/tr>\n<\/thead>\n
Central Falls\t<\/td>30.7%
\n<\/td>\n<\/tr>\n
Providence\t<\/td>27.2%
\n<\/td>\n<\/tr>\n
Woonsocket\t<\/td>23.2%
\n<\/td>\n<\/tr>\n
Pawtucket\t<\/td>17.2%
\n<\/td>\n<\/tr>\n
West Warwick\t<\/td>11.1%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t
Lowest percent on public assistance
\n<\/th>\n<\/tr>\n<\/thead>\n
New Shoreham\t<\/td>0%
\n<\/td>\n<\/tr>\n
Foster\t<\/td>0.5%
\n<\/td>\n<\/tr>\n
Hopkinton\t<\/td>0.8%
\n<\/td>\n<\/tr>\n
Jamestown\t<\/td>1.5%
\n<\/td>\n<\/tr>\n
Little Compton\t<\/td>1.7%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

 <\/p>\n

Life expectancy was related to several economic factors. Lower percent of the population on public assistance (correlation = -0.49), and percent of the population below the poverty line (corr = -0.39), as well as higher mean household income levels (corr = 0.55) were associated with higher life expectancy.<\/p>\n\n\n