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 Miami County, KS Series ID: MHICIUBKS20121A052NCEN 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 30827 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 35639 1994-01-01 . 1995-01-01 40587 1996-01-01 . 1997-01-01 43647 1998-01-01 45518 1999-01-01 47835 2000-01-01 48623 2001-01-01 48601 2002-01-01 50350 2003-01-01 52062 2004-01-01 54974 2005-01-01 57929 2006-01-01 60941 2007-01-01 63324 2008-01-01 64788 2009-01-01 62805 2010-01-01 62999 2011-01-01 62159 2012-01-01 68989 2013-01-01 64858 2014-01-01 68828 2015-01-01 68065 2016-01-01 73663 2017-01-01 73657 2018-01-01 78300 2019-01-01 80578 2020-01-01 87477 2021-01-01 86749 2022-01-01 89053