Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wyoming County, PA Series ID: MHICIUBPA42131A052NCEN 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 29156 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 33698 1994-01-01 . 1995-01-01 36214 1996-01-01 . 1997-01-01 38188 1998-01-01 39875 1999-01-01 38747 2000-01-01 40863 2001-01-01 39884 2002-01-01 40484 2003-01-01 41263 2004-01-01 42507 2005-01-01 43141 2006-01-01 48998 2007-01-01 49287 2008-01-01 48295 2009-01-01 46716 2010-01-01 49669 2011-01-01 51988 2012-01-01 50795 2013-01-01 49949 2014-01-01 59142 2015-01-01 55595 2016-01-01 58803 2017-01-01 59768 2018-01-01 61865 2019-01-01 64652 2020-01-01 65875 2021-01-01 66246 2022-01-01 73221