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 Dodge County, MN Series ID: MHICIUBMN27039A052NCEN 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 33093 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 37777 1994-01-01 . 1995-01-01 41777 1996-01-01 . 1997-01-01 45641 1998-01-01 49327 1999-01-01 51065 2000-01-01 54022 2001-01-01 53873 2002-01-01 56165 2003-01-01 58383 2004-01-01 59280 2005-01-01 58740 2006-01-01 62562 2007-01-01 66090 2008-01-01 65036 2009-01-01 69975 2010-01-01 64300 2011-01-01 70242 2012-01-01 68613 2013-01-01 77353 2014-01-01 73155 2015-01-01 71184 2016-01-01 74475 2017-01-01 75166 2018-01-01 81631 2019-01-01 90793 2020-01-01 83810 2021-01-01 88436 2022-01-01 94705