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 Pottawatomie County, KS Series ID: MHICIUBKS20149A052NCEN 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 28227 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 33476 1994-01-01 . 1995-01-01 37687 1996-01-01 . 1997-01-01 41653 1998-01-01 43835 1999-01-01 43088 2000-01-01 45730 2001-01-01 45565 2002-01-01 46839 2003-01-01 47696 2004-01-01 49688 2005-01-01 49734 2006-01-01 51330 2007-01-01 53258 2008-01-01 59000 2009-01-01 60405 2010-01-01 56678 2011-01-01 57924 2012-01-01 61033 2013-01-01 64543 2014-01-01 68097 2015-01-01 65546 2016-01-01 70005 2017-01-01 72811 2018-01-01 76914 2019-01-01 78524 2020-01-01 86392 2021-01-01 86686 2022-01-01 92831