Resident Satisfaction

Increase resident satisfaction to 95 percent.

This indicator measures the percent resident satisfaction.Explore the data
percent
Current
95percent
Dec 2020 Target
Goal Period ended December 2020

            What is this indicator?

            This indicator measures the percentage of Santa Monica residents who are positive about the City as a place to live.

            Why is it important?

            The City strives to create an environment that residents can enjoy and are proud to be a part of. Collecting feedback on overall satisfaction on city services and quality of life are important indicators and benchmark for future decisions affecting City residents.

            How are we doing?

            Santa Monica residents are overwhelmingly positive about the City as a place to live. In the most recent 2013 survey, 60 percent considered the City an “excellent” place to live, with another 32 percent believing it is a “pretty good” place to live. In all, 92 percent of residents rate Santa Monica positively, down just two percent from the 2011 results and up from 88 percent in 2009. Only eight percent consider Santa Monica a “just fair” place to live, and no one gave it a “poor” rating. We are on track to reach the 2020 target for 95%satisfaction among residents surveyed.

            Residents age 18 to 49 are slightly more positive than those age 50 or older (93% vs. 88%); a small group of residents ages 75 or older are the most negative.

            As seen in past years, the survey reveals two key issues upon which residents are particularly concerned and the City has made few inroads: addressing homeless and traffic congestion. However, just 31 percent are dissatisfied with the job the City is doing in dealing with homeless people and 35 percent with keeping traffic flowing.

            Despite strong concerns about these issues, residents may recognize that solving these problems requires more than City government action. If they placed the blame squarely on the City, we would expect negative ratings to be far higher given the intensity of concern about these problems.

      Data Governance

      describes the quality of the data itself. Governance issues generally indicate that the data source is considered incomplete or unreliable.

      Model Health

      describes the quality of the predictive model. If the model health is poor, the trend prediction should not be trusted.

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