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 Johnson County, KS Series ID: MHICIUBKS20091A052NCEN 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 1:10 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 43758 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 52188 1994-01-01 . 1995-01-01 57661 1996-01-01 . 1997-01-01 62594 1998-01-01 65546 1999-01-01 66864 2000-01-01 71194 2001-01-01 70744 2002-01-01 71041 2003-01-01 70494 2004-01-01 71812 2005-01-01 68786 2006-01-01 71930 2007-01-01 73862 2008-01-01 78425 2009-01-01 73846 2010-01-01 73395 2011-01-01 73136 2012-01-01 76153 2013-01-01 76168 2014-01-01 78303 2015-01-01 84879 2016-01-01 82841 2017-01-01 86319 2018-01-01 89291 2019-01-01 93715 2020-01-01 94992 2021-01-01 95428 2022-01-01 102571