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 Bremer County, IA Series ID: MHICIUBIA19017A052NCEN 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 1:11 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 30723 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 36053 1994-01-01 . 1995-01-01 40134 1996-01-01 . 1997-01-01 44554 1998-01-01 45960 1999-01-01 44335 2000-01-01 46090 2001-01-01 45673 2002-01-01 47260 2003-01-01 47752 2004-01-01 50686 2005-01-01 49316 2006-01-01 52609 2007-01-01 54882 2008-01-01 59251 2009-01-01 58976 2010-01-01 59650 2011-01-01 61793 2012-01-01 64144 2013-01-01 66295 2014-01-01 67480 2015-01-01 70208 2016-01-01 70194 2017-01-01 69385 2018-01-01 78279 2019-01-01 71246 2020-01-01 81237 2021-01-01 80199 2022-01-01 88297