The median earnings of New Castle Micro Area (PA) was $27,305 in 2013.

Earnings and Gender

Earnings and Education

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Jobs and Earnings Datasets Involving New Castle Micro Area (PA)

  • API

    Sandy PA Master Data

    data.nj.gov | Last Updated 2017-07-14T18:50:21.000Z

    This is a report for all the relevant columns of PA - Amount Allocated, Obligated, Paid- broken down by program, project, county and municipality.

  • API

    Median Household Income All States 2000-2012

    opendata.utah.gov | Last Updated 2014-10-31T18:29:13.000Z

    Median Household Income All States 2000-2012

  • API

    Public Assistance Case Closings by Reason for Closing: Beginning 2006

    data.ny.gov | Last Updated 2017-07-06T22:01:28.000Z

    This dataset, from New York State Office of Temporary and Disability Assistance, provides the number of Public Assistance case closings in each month by reason for case closing, for each Local Social Services District (SSD). It is similar to data published on an annual basis in the "Statistical Report on the Operations of New York State Public Assistance Programs."

  • API

    Public Assistance Case Denials by Reason for Denial: Beginning 2006

    data.ny.gov | Last Updated 2017-07-06T22:02:28.000Z

    This dataset, from New York State Office of Temporary and Disability Assistance, provides the number of Public Assistance case denials in each month by reason for case denial, for each Local Social Services District (SSD). It is similar to data published on an annual basis in the "Statistical Report on the Operations of New York State Public Assistance Programs."

  • API

    Freight Cars Moved in Carfloat Operations, Port Authority of NY NJ: Beginning 2009

    data.ny.gov | Last Updated 2016-03-15T17:44:15.000Z

    This dataset provides volume of loaded freight rail cars transported between NY and NJ by New York New Jersey Rail, a carfloat operation owned by the Port Authority of NY & NJ. Total volume, including empty cars, is estimated at twice the volume of loaded. 2013 entry is year-to-date volume at this time

  • API

    State Structurally Deficient Bridges Let CY 2015-2020 Transportation

    data.pa.gov | Last Updated 2017-07-19T15:40:15.000Z

    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

    State Profiles: FY 2014 Public Libraries Survey (Data)

    data.imls.gov | Last Updated 2016-12-07T00:10:49.000Z

    Pull up a state's profile to find state-level totals on key data such as numbers of libraries and librarians, revenue and expenditures, and collection sizes.<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 https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data

  • API

    Uninsured Population Census Data CY 2009-2014 Human Services

    data.pa.gov | Last Updated 2017-07-31T18:19:23.000Z

    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

    Medicare Physician and Other Supplier National Provider Identifier (NPI) Aggregate Report, Calendar Year 2014

    data.cms.gov | Last Updated 2017-06-15T16:50:03.000Z

    The “Medicare Physician and Other Supplier National Provider Identifier (NPI) Aggregate Report”, a supplement to the Medicare Provider Utilization and Payment Data: Physician and Other Supplier data, contains information on utilization, payments (Medicare allowed amount, Medicare payment, standardized Medicare payment), and submitted charges organized by NPI. Sub-totals for medical type services and drug type services are included as well as overall utilization, payment and charges. In addition, beneficiary demographic and health characteristics are provided which include age, sex, race, Medicare and Medicaid entitlement, chronic conditions and risk scores.

  • API

    Oil, Gas, & Other Regulated Wells: Beginning 1860

    data.ny.gov | Last Updated 2017-08-17T10:45:03.000Z

    Information on oil, gas, storage, solution salt, stratigraphic, and geothermal wells in New York State