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 Benton County, IA Series ID: MHICILBIA19011A052NCEN 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 24399 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30029 1994-01-01 . 1995-01-01 32763 1996-01-01 . 1997-01-01 36739 1998-01-01 39394 1999-01-01 40283 2000-01-01 41503 2001-01-01 41704 2002-01-01 42691 2003-01-01 44068 2004-01-01 45557 2005-01-01 44473 2006-01-01 45897 2007-01-01 49965 2008-01-01 52450 2009-01-01 52337 2010-01-01 50665 2011-01-01 51439 2012-01-01 55101 2013-01-01 53959 2014-01-01 57713 2015-01-01 59754 2016-01-01 58040 2017-01-01 64017 2018-01-01 59690 2019-01-01 63726 2020-01-01 64599 2021-01-01 70861 2022-01-01 76254