Annual City employee earnings for calendar-year 2018. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Annual City employee earnings for calendar-year 2017. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Annual City employee earnings for calendar-year 2019. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Annual City employee earnings for calendar-year 2014. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Annual City employee earnings for calendar-year 2010. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Annual City employee earnings for calendar-year 2016. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Annual City employee earnings for calendar-year 2012. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Annual City employee earnings for calendar-year 2013. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Annual City employee earnings for calendar-year 2011. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Annual City employee earnings for calendar-year 2015. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.