遇见数据集

2020 Consolidated Demographics Index

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ArcGIS Hub2026-04-16 更新2026-07-05 收录
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This layer was originally created to support the STAR Rating System objective EE-4: Equitable Services & Access Community Level Outcomes for King County. Three demographics are combined into one attribute to determine King County services access analysis by census tract. Each demographic: English proficiency, people of color, and household income, was applied to census tracts separately. This demographic information is based on the 2016 - 2020 American Community Survey from the Census Bureau. The demographic was sorted into five classes using the Natural Breaks classification. Then each class was given a score: 1 for the first class, 2 for the second class, 3 for the third class, etc. Next, each census tract received a score based on the class it was in: 1 if it was in the first class, 2 if it was in the second class, 3 if it was in the third class, etc. So each census tract will have a score for English proficiency (ESL_Score), a score for people of color (RE_Score), and a score for household income (Income_Score). These scores were added up (TotalScore) and an evenly weight average was determined (WeightedTotal333333). Thus each score for the census tracts represents a combination of demographics where lower scores mean a wealthier, less diverse community and higher scores mean more diverse, less wealthy community.

本图层最初为支持金县(King County)星级评分系统(STAR Rating System)目标EE-4:公平服务与可及性社区层级成果而构建。将三类人口统计特征整合为单一属性,用于基于普查分区(census tract)开展金县服务可及性分析。三类特征分别为英语熟练程度、有色人种群体与家庭收入,此前已分别针对各普查分区完成测算。该人口统计数据源自美国人口普查局2016-2020年美国社区调查(American Community Survey)。本次分析采用自然间断点分级法(Natural Breaks classification)将该类人口统计数据划分为五个等级,随后为每个等级赋予对应分值:第一等级为1分,第二等级为2分,第三等级为3分,以此类推。接下来,各普查分区将根据其所属等级获得对应分值:属于第一等级则得1分,第二等级得2分,第三等级得3分,以此类推。因此,各普查分区将分别获得英语熟练程度分值(ESL_Score)、有色人种群体分值(RE_Score)与家庭收入分值(Income_Score)。将上述三项分值求和得到总分(TotalScore),并计算得到等权平均分(WeightedTotal333333)。综上,各普查分区的分值代表了人口统计特征的综合情况:分值越低,对应社区越富裕、种族多样性越低;分值越高,对应社区种族多样性越高、富裕程度越低。

提供机构:
King County GIS Center
创建时间:
2025-07-11
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