Methodology

The City University of New York’s Institute for State and Local Governance (CUNY ISLG) developed the original methodology for creating and implementing Equality Indicator tools; this methodology was replicated and customized for Tulsa.

Tulsa Equality Indicators is a set of 54 indicators, each receiving a score ranging from 1, representing full inequality, to 100, representing full equality, based on the disparity between the two populations compared.In general, the two comparison groups for each indicator represent the most and least disadvantaged populations for that specific indicator, based on rates calculated using the latest population data from the U.S. Census Bureau. The greater the difference between the two groups, the lower the equality score; the smaller the difference, the higher the score. Have questions? Contact our team

Structure

Six broad themes serve as the foundation of the Tulsa Equality Indicators tool—these themes are:

Each theme is divided into three topics and each topic is divided again into three indicators, producing nine indicators per theme. The uniform number of indicators per topic and per theme ensures that each indicator, topic, and theme carries equal weight in calculating the overall city score.

Scoring

Tulsa Equality Indicators scores indicators in two ways: 1) a static equality score indicating the amount of disparity between the two population groups, and 2) a change score indicating the amount of change in the equality score from baseline to present.

Every indicator receives an equality score ranging from 1, representing full inequality, to 100, representing full equality, based on the disparity between the two populations compared. In general, the two comparison groups for each indicator represent the most and least disadvantaged populations for that specific indicator, based on rates calculated using the latest population data from the U.S. Census Bureau. The greater the difference between the two groups, the lower the equality score; the smaller the difference, the higher the score.

Static equality scores at higher levels are created by averaging the scores one level below them. This means that static topic scores are comprised of the average of their three indicators and static theme scores are comprised of the average of their three topics. The six themes are averaged to produce the static citywide score each year. The intentional even distribution of indicators across themes ensures that every theme has equal weight in the calculation of the overall city score.

Change scores can reflect positive change (represented by a positive number), negative change (a negative number), or no change (score of 0).