NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for York County, PA Series ID: MHICIUBPA42133A052NCEN Source: U.S. Census Bureau Release: Small Area Income and Poverty Estimates Seasonal Adjustment: Not Seasonally Adjusted Frequency: Annual Units: Dollars Date Range: 1989-01-01 to 2022-01-01 Last Updated: 2023-12-14 1:09 PM CST Notes: The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 34187 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 39866 1994-01-01 . 1995-01-01 43152 1996-01-01 . 1997-01-01 46247 1998-01-01 48445 1999-01-01 48231 2000-01-01 51268 2001-01-01 50212 2002-01-01 50535 2003-01-01 50921 2004-01-01 52284 2005-01-01 50447 2006-01-01 53957 2007-01-01 56798 2008-01-01 58571 2009-01-01 58397 2010-01-01 58261 2011-01-01 56909 2012-01-01 57098 2013-01-01 58850 2014-01-01 60464 2015-01-01 60772 2016-01-01 64775 2017-01-01 65501 2018-01-01 67831 2019-01-01 71491 2020-01-01 74287 2021-01-01 75479 2022-01-01 82451