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 Jackson County, KS Series ID: MHICIUBKS20085A052NCEN 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 28571 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31017 1994-01-01 . 1995-01-01 35859 1996-01-01 . 1997-01-01 38564 1998-01-01 40663 1999-01-01 41988 2000-01-01 45020 2001-01-01 44461 2002-01-01 44727 2003-01-01 44976 2004-01-01 46227 2005-01-01 47562 2006-01-01 49958 2007-01-01 51508 2008-01-01 53586 2009-01-01 53377 2010-01-01 54306 2011-01-01 55159 2012-01-01 54533 2013-01-01 55109 2014-01-01 58417 2015-01-01 56318 2016-01-01 61869 2017-01-01 53294 2018-01-01 61073 2019-01-01 64423 2020-01-01 63212 2021-01-01 59673 2022-01-01 78165