Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Iron County, MO Series ID: MHICILBMO29093A052NCEN 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 15320 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 16871 1994-01-01 . 1995-01-01 19313 1996-01-01 . 1997-01-01 20626 1998-01-01 21248 1999-01-01 24053 2000-01-01 24981 2001-01-01 24532 2002-01-01 24700 2003-01-01 25895 2004-01-01 26827 2005-01-01 26176 2006-01-01 27837 2007-01-01 27644 2008-01-01 26719 2009-01-01 28483 2010-01-01 30010 2011-01-01 29374 2012-01-01 32829 2013-01-01 29924 2014-01-01 30077 2015-01-01 30205 2016-01-01 31124 2017-01-01 32150 2018-01-01 33877 2019-01-01 34906 2020-01-01 35605 2021-01-01 40460 2022-01-01 39582