NCES EDGE School Neighborhood Poverty Estimates

The EDGE School Neighborhood Poverty Estimates rely on household economic data from the Census Bureau’s American Community Survey (ACS) and public school point locations developed by NCES to estimate the income-to-poverty ratio for neighborhoods around school buildings. Unlike neighborhood poverty estimates created from survey responses collected for predefined geographic areas like census tracts, Spatially Interpolated Demographic Estimates (SIDE) predict conditions at specific point locations based on the survey responses nearest to those locations. This approach allows SIDE estimates to extract new value from existing data sources to provide indicators of neighborhood conditions. The economic conditions of school neighborhoods may be different from the economic conditions in neighborhoods where students live. However, the economic condition of the neighborhood around a school may impact schools, just as the condition of neighborhood schools may impact local neighborhoods. The school neighborhood poverty estimates provide an additional indicator to help identify these local conditions.

EDGE校园邻里贫困估算（EDGE School Neighborhood Poverty Estimates）依托美国人口普查局美国社区调查（American Community Survey, ACS）的家庭经济数据，以及美国国家教育统计中心（National Center for Education Statistics, NCES）开发的公立学校点位信息，对校园周边邻里的收入贫困比进行估算。与基于普查区等预定义地理区域收集的调查数据生成的邻里贫困估算不同，空间插值人口统计估算（Spatially Interpolated Demographic Estimates, SIDE）会依据点位邻近的调查数据，预测特定点位对应的社区状况。该方法可使SIDE估算从现有数据源中挖掘新增价值，进而提供邻里状况的相关指标。校园邻里的经济状况或与学生居住社区的经济状况存在差异，但校园周边邻里的经济状况可能对学校产生影响，反之，周边学校的状况也可能作用于当地社区。本校园邻里贫困估算可提供一项额外指标，助力识别这类本地社区状况。