Ryan Ramphul, Shreela V. Sharma, F. Revere, L. Highfield
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引用次数: 1
摘要
本横断面描述性研究利用空间统计来检验德克萨斯州参与SNAP的热点/冷点。首先，我们按人口普查区估计了SNAP合格但未登记(EBNE)家庭的百分比。接下来，我们利用Anselin 's Local Moran 's I统计数据来确定整个德克萨斯州和哈里斯县SNAP EBNE区域的统计显著热点/冷点。我们发现，热点人口普查区的人口密度、收入水平和贫困率明显高于其他人口普查区。利用空间统计方法识别参与SNAP的热点/冷点，为了解区域SNAP利用情况提供了一种新的方法。
Mapping the “SNAP Gap” – Identifying Neighborhood-level Hot Spots and Cold Spots of SNAP Under-participation in Texas
ABSTRACT This cross-sectional descriptive study utilized spatial statistics to test for hot/cold spots of SNAP under-participation in Texas. First, we estimated the percentage of SNAP eligible but not enrolled (EBNE) households, by census tract. Next, we utilized the Anselin’s Local Moran’s I statistic to identify statistically significant hot/cold spots of SNAP EBNE tracts throughout Texas and in Harris County. We found that hot spot census tracts had significantly higher densities, income levels, and lower poverty rates than other census tracts. Using spatial statistics to identify hot/cold spots of SNAP under-participation offers a novel method for understanding area SNAP utilization.
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