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 Upper Bound of Estimate of Median Household Income for Taylor County, IA Series ID: MHICIUBIA19173A052NCEN 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 20178 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23908 1994-01-01 . 1995-01-01 26371 1996-01-01 . 1997-01-01 30427 1998-01-01 31540 1999-01-01 32709 2000-01-01 34883 2001-01-01 34004 2002-01-01 33990 2003-01-01 34519 2004-01-01 37787 2005-01-01 38689 2006-01-01 39247 2007-01-01 42215 2008-01-01 43541 2009-01-01 43451 2010-01-01 46498 2011-01-01 47313 2012-01-01 48989 2013-01-01 48938 2014-01-01 50774 2015-01-01 50912 2016-01-01 54104 2017-01-01 52180 2018-01-01 52303 2019-01-01 57360 2020-01-01 74256 2021-01-01 60219 2022-01-01 61913