Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clayton County, IA Series ID: MHICILBIA19043A052NCEN 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 20182 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23802 1994-01-01 . 1995-01-01 24962 1996-01-01 . 1997-01-01 28487 1998-01-01 29579 1999-01-01 31649 2000-01-01 33022 2001-01-01 32984 2002-01-01 33073 2003-01-01 34084 2004-01-01 36174 2005-01-01 37608 2006-01-01 36917 2007-01-01 37575 2008-01-01 43851 2009-01-01 39797 2010-01-01 38908 2011-01-01 40725 2012-01-01 40281 2013-01-01 45322 2014-01-01 45596 2015-01-01 43883 2016-01-01 49827 2017-01-01 50089 2018-01-01 48693 2019-01-01 49394 2020-01-01 48396 2021-01-01 52109 2022-01-01 57764