DATA-DRIVEN WORK
Chattanooga 2.0 holds data at the forefront of all cradle-to-career strategies and initiatives. We encourage community organizations and local leaders to use this data dashboard to both inform and strengthen their work.
Led by our Data Council, comprehensive, aligned, and timely collection and reporting of data across early care, education, and youth services can be used to better inform resource allocation and community planning, provide disaggregated data on participant demographics and workforce composition, and to measure progress and outcomes.
Data collection and analysis can help social sector agencies identify meaningful trends across populations. Utilizing the below data can also help programs hone in on narrowly defined geographic areas and subgroups to more clearly understand the unique challenges and resources in each community.
We believe in making data and information easily digestible and widely shared among community leaders, officials, and residents to inform evidence-based policy-making.
Head on over to our blog where Chattanooga 2.0’s Director of Data Strategy and Impact, Rachel Kramer, breaks down the dashboard.
The 2030 Goals Dashboard was a team effort, built in partnership with the Chattanooga 2.0 team, the Data Council, the Literacy Council, and other partners. Through a feedback process, the Data Council helped refine the contextual and contributing indicators while the Literacy Council looked closely at the literacy pages. We are grateful to everyone who helped with the creation of the dashboard.
Contributing indicators are the variables that will have a direct impact on the core goal we are attempting to achieve. For instance, research shows that reducing the chronic absenteeism rate among elementary school students is associated with higher literacy rates.
Contextual indicators are quantifiable variables which we will use to help describe and assess the health of the wider cradle-to-career system. These indicators give a picture of how the community is doing overall even if they aren’t directly correlated with our specific focus areas and programs. For example, median household income serves as a comprehensive metric that reflects not just economic prosperity but also social well-being and development within our local community. Research suggests a positive association between median household income and the health of a community.
