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 Clay County, MO Series ID: MHICILBMO29047A052NCEN 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 1:54 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 32896 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 37764 1994-01-01 . 1995-01-01 39808 1996-01-01 . 1997-01-01 43535 1998-01-01 46042 1999-01-01 45325 2000-01-01 47000 2001-01-01 47140 2002-01-01 48754 2003-01-01 50463 2004-01-01 50852 2005-01-01 51371 2006-01-01 51735 2007-01-01 54978 2008-01-01 57349 2009-01-01 54946 2010-01-01 53209 2011-01-01 55770 2012-01-01 54683 2013-01-01 58484 2014-01-01 58909 2015-01-01 63108 2016-01-01 62223 2017-01-01 63775 2018-01-01 65346 2019-01-01 67801 2020-01-01 71052 2021-01-01 72129 2022-01-01 73922