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 Knox County, NE Series ID: MHICIUBNE31107A052NCEN 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 1:51 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 21215 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24871 1994-01-01 . 1995-01-01 27151 1996-01-01 . 1997-01-01 29840 1998-01-01 29603 1999-01-01 29301 2000-01-01 30932 2001-01-01 30137 2002-01-01 29644 2003-01-01 32714 2004-01-01 33737 2005-01-01 35236 2006-01-01 35012 2007-01-01 37669 2008-01-01 37292 2009-01-01 38593 2010-01-01 39534 2011-01-01 42716 2012-01-01 47904 2013-01-01 44767 2014-01-01 46385 2015-01-01 49662 2016-01-01 50437 2017-01-01 50575 2018-01-01 52072 2019-01-01 57767 2020-01-01 56532 2021-01-01 60441 2022-01-01 60017