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 Washington County, KS Series ID: MHICIUBKS20201A052NCEN 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 1:53 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 21339 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26006 1994-01-01 . 1995-01-01 28245 1996-01-01 . 1997-01-01 31692 1998-01-01 32175 1999-01-01 31813 2000-01-01 33312 2001-01-01 32513 2002-01-01 31847 2003-01-01 32794 2004-01-01 35789 2005-01-01 34304 2006-01-01 37409 2007-01-01 40191 2008-01-01 43784 2009-01-01 40591 2010-01-01 44601 2011-01-01 43731 2012-01-01 47453 2013-01-01 46955 2014-01-01 46588 2015-01-01 50167 2016-01-01 49036 2017-01-01 51815 2018-01-01 53112 2019-01-01 50629 2020-01-01 55289 2021-01-01 60686 2022-01-01 69882