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 Lower Bound of Estimate of Median Household Income for Wyandotte County, KS Series ID: MHICILBKS20209A052NCEN 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 1:12 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 21223 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24253 1994-01-01 . 1995-01-01 24749 1996-01-01 . 1997-01-01 27149 1998-01-01 28305 1999-01-01 29873 2000-01-01 30816 2001-01-01 30452 2002-01-01 30412 2003-01-01 31085 2004-01-01 31345 2005-01-01 32569 2006-01-01 35087 2007-01-01 35990 2008-01-01 36586 2009-01-01 34544 2010-01-01 35494 2011-01-01 36458 2012-01-01 35904 2013-01-01 36541 2014-01-01 35495 2015-01-01 40305 2016-01-01 41125 2017-01-01 44030 2018-01-01 44783 2019-01-01 44647 2020-01-01 48561 2021-01-01 52061 2022-01-01 55861