Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Knox County, IN Series ID: MHICIUBIN18083A052NCEN 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 1:52 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 24821 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29150 1994-01-01 . 1995-01-01 32099 1996-01-01 . 1997-01-01 33784 1998-01-01 34714 1999-01-01 33407 2000-01-01 34969 2001-01-01 34329 2002-01-01 34794 2003-01-01 35563 2004-01-01 36929 2005-01-01 40489 2006-01-01 38583 2007-01-01 42900 2008-01-01 42497 2009-01-01 40620 2010-01-01 42077 2011-01-01 42070 2012-01-01 44403 2013-01-01 47048 2014-01-01 47458 2015-01-01 45836 2016-01-01 46763 2017-01-01 47439 2018-01-01 53116 2019-01-01 53687 2020-01-01 49424 2021-01-01 61126 2022-01-01 63925