![]() Weave's Social Trust Index and Map show how different neighborhood traits are linked to social trust. They look at behaviors, intentions, and spaces separately but recognize how they all work together. The data, updated annually from sources like Esri and SafeGraph, is collected locally to be specific and timely. Experts chose data linked to social trust, and Datastory analyzed it into easy-to-understand scores. The Index covers community engagement, intentions, and social spaces to help neighbors connect. Check out the blog post below, read the article, and explore the Social Trust Index Map here. Release: Weave's "How We Measure Social Trust"
Weave’s Social Trust Index and Map show the strength of certain neighborhood traits that are correlated with social trust. Trusting behaviors, intentions, and spaces are judged separately, but they influence and complement each other. You can think of them as the ecosystem that supports building relationships and trust in a community. We had two requirements for our data. It had to be very local, collected for census block groups, which are neighborhoods that include from 600-3,000 people. And it had to be as up-to-date as possible. We chose sources that update the data annually, so information in this map is from 2023. These two requirements were important to be sure we had data that was timely and specific to neighborhoods since it wasn’t an average for a large area. These requirements limited the data available to us, since not many groups collect information at the neighborhood level across the US every year. Weave assembled a group of advisors deeply involved in social trust research. You can see their names in the Trust Map credits. We and our advisors chose data that research has shown to be correlated to social trust. We hired the firm Datastory to find and organize the data. It refined the data choices through statistical tests that showed how the variables interacted with each other. The Index and Map data came from Esri, Spatial.ai, SafeGraph, and OpenStreetMaps. These groups acquire data from the U.S. Census, the Bureau of Labor Statistics, MRI-Simmons, social media (e.g., X, Instagram, Facebook), and ground surveys, among others. Datastory used each criterion below to score each neighborhood as a percentile compared to the rest of the country, which we converted to a 0-100 scale. This means that if a particular neighborhood was in the 80th percentile compared to the rest of the country for book club attendance, their score on that criterion would be 80. These scores are then rolled up by subcategory and category. Finally, Datastory created an interactive map to display the results. Trusting Behaviors: Trusting Behaviors indicate how actively engaged neighbors are in their community. We assess that in three ways:
Trusting Intentions: Trusting Intentions indicate whether people seem interested in and care about the community. We assess that in three ways.
Trusting Spaces: Trusting Spaces indicate whether people have places to meet and connect with neighbors. We assess that in two ways.
If you have further questions, contact Weave at [email protected]. Article URL: https://weavers.org/trust/methodology/
0 Comments
Your comment will be posted after it is approved.
Leave a Reply. |
Categories
All
|