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 Lee County, IA Series ID: MHICILBIA19111A052NCEN 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 23336 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27225 1994-01-01 . 1995-01-01 29171 1996-01-01 . 1997-01-01 31884 1998-01-01 33407 1999-01-01 33683 2000-01-01 34509 2001-01-01 33791 2002-01-01 33378 2003-01-01 34403 2004-01-01 35839 2005-01-01 37689 2006-01-01 36808 2007-01-01 37037 2008-01-01 40849 2009-01-01 37909 2010-01-01 37327 2011-01-01 39423 2012-01-01 38201 2013-01-01 41641 2014-01-01 40825 2015-01-01 41531 2016-01-01 45488 2017-01-01 46761 2018-01-01 43887 2019-01-01 45547 2020-01-01 53259 2021-01-01 50750 2022-01-01 53791