Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lucas County, IA Series ID: MHICIUBIA19117A052NCEN 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 23854 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28251 1994-01-01 . 1995-01-01 29855 1996-01-01 . 1997-01-01 33829 1998-01-01 35152 1999-01-01 33910 2000-01-01 35541 2001-01-01 34620 2002-01-01 34788 2003-01-01 34907 2004-01-01 36570 2005-01-01 39887 2006-01-01 39103 2007-01-01 42871 2008-01-01 44886 2009-01-01 42024 2010-01-01 42925 2011-01-01 42273 2012-01-01 47912 2013-01-01 44455 2014-01-01 46554 2015-01-01 51311 2016-01-01 59526 2017-01-01 50233 2018-01-01 54461 2019-01-01 58665 2020-01-01 55239 2021-01-01 68563 2022-01-01 66656