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 Dodge County, WI Series ID: MHICILBWI55027A052NCEN 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 25482 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31982 1994-01-01 . 1995-01-01 35767 1996-01-01 . 1997-01-01 39327 1998-01-01 41346 1999-01-01 41836 2000-01-01 43246 2001-01-01 42844 2002-01-01 43051 2003-01-01 44194 2004-01-01 45605 2005-01-01 47495 2006-01-01 47296 2007-01-01 49406 2008-01-01 50597 2009-01-01 48128 2010-01-01 48576 2011-01-01 50215 2012-01-01 49120 2013-01-01 49739 2014-01-01 50892 2015-01-01 53648 2016-01-01 53703 2017-01-01 54312 2018-01-01 59309 2019-01-01 59486 2020-01-01 59038 2021-01-01 62209 2022-01-01 64925