Low Birth weight Live Births (< 2500 grams) by Mother's Age and Resident County New York State - 2012 Mother's Age All Births Singleton Births < < County Total 15 17 19 24 44 45+ N.S. Total 15 45+ N.S. 18,935 28 352 839 3,482 4,576 5,129 3,250 1,112 165 2 13,823 27 321 736 2,841 3,482 3,504 2,139 715 57 1 New York State Erie 870 1 24 53 174 249 228 105 31 4 1 625 1 138 182 158 54 23 0 1 Erie County had 9,945 live births in 2012., of this number 870 (11.4%) were termed to be low birth weight. In 2007 Erie County had higher rates of infant deaths at 7.8/1000, neonatal deaths at 5.2/1000 and post neonatal deaths 2.6/1000 than reported in the State as a whole. Erie County having higher rates for these occurrences is consistent with data since 2003. This disturbing trend continues through 2011. The Erie County rate is higher consistently with any slight inroads to decrease the rates. Erie County Mortality rate per 1,000 live births Infant (<1 year) 2002 -2011 Another significant indicator for future health outcomes in children and family bonding with moms is the rate of breastfeeding in the community. The nation benefits overall when mothers breastfeed. Recent research shows that if 90 percent of families’ breastfed exclusively for 6 months, nearly 1,000 deaths among infants could be prevented. The United States would also save $13 billion per year — medical care costs are lower for fully breastfed infants than never-breastfed infants. Breastfed infants typically need fewer sick care visits, prescriptions, and hospitalizations. In Erie County there are three birthing hospitals. Looking at the rates of breastfeeding exclusivity in birthing hospitals, much work needs to be done to increase them appropriately. There has been a slow but steady decline in the yearly rates but the three year average has dropped dramatically. The data do not make sense as reported and currently The Healthy Start, Healthy Futures for All Coalition of Erie County is investigating why this is occurring and looking at how to reverse the trend among the residents if the data holds true and is not an error in reporting methodology.
Low Birth weight Live Births (< 2500 grams) by Mother's Age and Resident County New York State - 2012 Mother's Age All Births Singleton Births County Total < 15 45+ N.S. Total < 15 45+ N.S. New York State 18,935 28 352 839 3,482 4,576 5,129 3,250 1,112 165 2 13,823 27 321 736 2,841 3,482 3,504 2,139 715 57 1 Erie 870 1 24 53 174 249 228 105 31 4 1 625 1 24 44 138 182 158 54 23 0 1 Erie County had 9,945 live births in 2012., of this number 870 (11.4%) were termed to be low birth weight. In 2007 Erie County had higher rates of infant deaths at 7.8/1000, neonatal deaths at 5.2/1000 and post neonatal deaths 2.6/1000 than reported in the State as a whole. Erie County having higher rates for these occurrences is consistent with data since 2003. This disturbing trend continues through 2011. The Erie County rate is higher consistently with any slight inroads to decrease the rates. Erie County Mortality rate per 1,000 live births Infant (<1 year) 2002 -2011 Another significant indicator for future health outcomes in children and family bonding with moms is the rate of breastfeeding in the community. The nation benefits overall when mothers breastfeed. Recent research shows that if 90 percent of families’ breastfed exclusively for 6 months, nearly 1,000 deaths among infants could be prevented. The United States would also save $13 billion per year — medical care costs are lower for fully breastfed infants than never-breastfed infants. Breastfed infants typically need fewer sick care visits, prescriptions, and hospitalizations. In Erie County there are three birthing hospitals. Looking at the rates of breastfeeding exclusivity in birthing hospitals, much work needs to be done to increase them appropriately. There has been a slow but steady decline in the yearly rates but the three year average has dropped dramatically. The data do not make sense as reported and currently The Healthy Start, Healthy Futures for All Coalition of Erie County is investigating why this is occurring and looking at how to reverse the trend among the residents if the data holds true and is not an error in reporting methodology. 19 17