Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Franklin County, IA Series ID: MHICIUBIA19069A052NCEN 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 27216 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30566 1994-01-01 . 1995-01-01 34380 1996-01-01 . 1997-01-01 37831 1998-01-01 39059 1999-01-01 38344 2000-01-01 40684 2001-01-01 39806 2002-01-01 39807 2003-01-01 40069 2004-01-01 43718 2005-01-01 44816 2006-01-01 45102 2007-01-01 48439 2008-01-01 51310 2009-01-01 49303 2010-01-01 49151 2011-01-01 51576 2012-01-01 55633 2013-01-01 51747 2014-01-01 55582 2015-01-01 57695 2016-01-01 58143 2017-01-01 57467 2018-01-01 64935 2019-01-01 61833 2020-01-01 68253 2021-01-01 66669 2022-01-01 71256