- What is the Median Female Earnings?
- What is the Median Male Earnings?
- What is the Median Female Earnings (Full Time)?
- What is the Median Male Earnings (Full Time)?
- What is the Median Earnings Less Than High School?
- What is the Median Earnings High School?
- What is the Median Earnings Some College or Associates?
- What is the Median Earnings Bachelor Degree?
- What is the Median Earnings Graduate or Professional Degree?
- What is the Percent Earning less than $10,000?
The median earnings of Androscoggin County, ME was $30,161 in 2016.
Earnings and Gender
Earnings and Education
Jobs and Earnings Datasets Involving Androscoggin County, ME
- API datacatalog.cookcountyil.gov | Last Updated 2017-09-05T20:10:36.000Z
Annual salaries paid to employees by the Cook County Comptroller as of March 5, 2013. Does not include deduction for furlough or closure days for employees subject to furloughs and closures. Does not include amounts paid by other governmental entities. For 2014 salaries see https://datacatalog.cookcountyil.gov/resource/hdna-35se
- API chhs.data.ca.gov | Last Updated 2015-04-22T20:30:20.000Z
The dataset contains income statement information for all licensed, comparable hospitals in the state of California. Kaiser hospitals, state mental hospitals, psychiatric health facilities, and hospitals with mainly long-term care patients are excluded. Deductions from Revenue, Net Patient Revenue, Net from Operations (Operating Revenue less Operating Expense), and Net Income for public hospitals has been adjusted for Disproportionate Share intergovernmental transfers for funding the Disproportionate Share Hospital Program. The program gets federal matching funds to pay supplemental payments to hospitals with a disproportionate share of uninsured, underinsured, and Medi-Cal patients.
NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015data.ny.gov | Last Updated 2018-08-07T23:35:30.000Z
The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).
- API data.sandiegocounty.gov | Last Updated 2018-09-21T23:13:21.000Z
The 2017 San Diego County Preparedness Survey, commissioned by the County of San Diego Office of Emergency Services and developed and conducted by Integrated Solutions Consulting, surveyed a random sample of 60,000 San Diego County residents over the age of 18. 1,075 residents completed the survey to offer results that were within a 95% confidence level with a confidence interval of 3%.
- API controllerdata.lacity.org | Last Updated 2018-10-12T20:56:18.000Z
Parcels owned by the City of Los Angeles. Data provided by the Los Angeles County Assessor's Office. For more information visit PropertyPanel.LA
- API pip.nashville.gov | Last Updated 2018-01-31T23:06:37.000Z
This data presents the Metro Volunteer Coordination and Engagement PIP Budget for FY18. Coordinating volunteer engagement within the government will allow Metro to achieve three (3) main goals: 1) Supplement Metro’s services to the community; 2) Provide volunteers with more opportunities and ways to engage with their community; 3) Track the impact and value volunteers add to Nashville.
- API data.ny.gov | Last Updated 2018-08-07T21:58:08.000Z
The Department of Taxation and Finance annually produces a mandated report of taxpayers claiming Brownfield Credits to help analyze the effects of the program. Chapter 390 of the Laws of 2008 created Section 171-r of the Tax Law that requires the Tax Department to produce a Brownfield Credit Report by January 31st of each year. Additionally, Part BB of Chapter 56 of the Laws of 2015 amends Section 171-r to require the Tax Department to produce a supplemental Brownfield Credit Report by January 31, 2016 containing the credits claimed for the years 2005, 2006, and 2007. The mandates require the Department to include the name of each taxpayer claiming the brownfield redevelopment tax credit, the remediated brownfield credit for real property taxes, or the environmental remediation credit, the amount of credit earned, and information identifying the brownfield project generating the credit. The Tax Department is also authorized to include any other information that it deems useful in analyzing the effects of the program.
- API opendata.utah.gov | Last Updated 2014-12-19T17:56:25.000Z
The following datasets and tables correspond to the data elements reported in the annual Public Library Service – PLS (formerly the Federal State Cooperative System [FSCS] for Public Library Data) survey published by the Institute of Museum and Library Services (IMLS). These data elements are a sub-set of the “Statistical Annual Report of Public Library Services” survey administered by the Utah State Library Division.
- API opendata.howardcountymd.gov | Last Updated 2017-04-06T18:02:23.000Z
- API data.imls.gov | Last Updated 2016-08-30T13:28:27.000Z
Find key information on library systems around the United States.<br><br>These data include imputed values for libraries that did not submit information in the FY 2014 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing.<br><br>Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2014 at <a href="https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data">https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data</a>