- 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 Pennsylvania was $31,057 in 2013.
Earnings and Gender
Earnings and Education
Jobs and Earnings Datasets Involving Pennsylvania
- API data.delaware.gov | Last Updated 2016-10-13T14:36:25.000Z
This data set is derived from vendor provided usage reports and is limited to spend with the identified vendor under the specific cooperative contract identified. Cooperatives are utilized within Delaware’s Procurement activities pursuant to 29 Del. C., §§6933 and 6987. Some vendors have multiple contracts with the State and further data regarding business done with any identified vendor may be found in the State Checkbook and State Employee Credit Card Transactions datasets.
- API opendata.utah.gov | Last Updated 2014-10-31T18:29:13.000Z
Median Household Income All States 2000-2012
Workforce Development Training through Agency Partnerships/Programs FY 2015-2016 Community and Economic Developmentdata.pa.gov | Last Updated 2016-10-28T19:41:54.000Z
The data submitted reflects the number of trainings of Pennsylvania workers offered by DCED and its affiliate programs in Fiscal Year 2015-2016
Jobs That Pay Pledges To Be Created and/or Retained January 2016 - October 2016 Community and Economic Developmentdata.pa.gov | Last Updated 2016-11-14T15:40:27.000Z
This dataset contains summary information on proposed number of pledged jobs to be created/retained that satisfy the jobs that pay requirement (pay at least 80% or higher of the average annual wage of the county where the jobs are located) initiated by the Wolf Administration. The data collection was not available prior to January 2016.
- API data.pa.gov | Last Updated 2016-12-05T16:50:03.000Z
This is a listing of structures that are identified as part of the Governor's Bridge Goal and are currently 'Let' for the Calendar Year 2015-2020 LET – award (a contract for a particular project) to an applicant RBR - This public-private partnership (P3) Rapid Bridge Replacement Project was awarded by the Pennsylvania Department of Transportation (PennDOT) to the consortium of Plenary Walsh Keystone Partners (PWKP). Please note that all dates use the “Let” date for PennDOT projects and the NTP (notice to proceed) dates for the P3 structures. “N” or “- -“ is null or no information DEMO - means the structure has been demolished. This document contains inspection information and may not be used in legal actions or proceedings against the bridge owner. (Reference 65 P.S. Sec 66.1 et sep., 75 pa C.S. Sec 3754 and 23 U.S.C. Sec 409.) The project is an initiative to replace aging bridges throughout Pennsylvania. Replacing the bridges will provide motorists with new, modern structures and allow PennDOT to remove them from their structurally deficient list. The bridges are primarily crossings on smaller state highways, many in rural areas, rather than interstate bridges or large river crossings. General Disclaimer: This data is a compilation of information from different databases and planned projects (current as of posting), and may contain errors and omissions. Furthermore, all information contained herein is to be used for general informational purposes only and is subject to change without notice. Please see the listed contact for specific data questions. This data also contains structural inspection, project selection and scheduling information that is provided in the interest of transparency without waiving any legal rights. This data may contain essential components of protected safety studies, which are not subject to disclosure or use in legal actions or proceedings against the bridge owner. See 23 U.S.C. § 409; 75 Pa. C.S. § 3754; 65 P.S. § 67.101 et seq.
- API data.melbourne.vic.gov.au | Last Updated 2015-10-07T05:49:04.000Z
This is a List of off property leases that are administered by the City of Melbourne
- API data.pa.gov | Last Updated 2016-10-28T12:00:22.000Z
The dataset provides at a location level, the number of funded Pennsylvania Pre-K Counts (PKC) and Head Start Supplemental Assistance Program (HSSAP) slots. The dataset begins in program year 2014-15 and will be updated annually to reflect the current program year funding.
- API bronx.lehman.cuny.edu | Last Updated 2013-06-13T02:33:52.000Z
Economic data collected for the 2010 census. Data acquired from Lehman College Geography Department faculty
- API data.pa.gov | Last Updated 2016-11-08T20:03:29.000Z
This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties. For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64 •3 sex categories: both sexes, male, and female •6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold •4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race). In addition, estimates for age category 0-18 by the income categories listed above are published. Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured. This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges. We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response. The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010 Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
- API bronx.lehman.cuny.edu | Last Updated 2013-06-15T19:10:48.000Z
Economic and poverty data as recorded during the 2010 Census and defined by PUMA (public use microdata area). More information on PUMAs can be found here: https://www.census.gov/geo/reference/puma.html Data was acquired from Lehman College Geography Department faculty