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 Marathon County, WI Series ID: MHICILBWI55073A052NCEN 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 27446 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 33437 1994-01-01 . 1995-01-01 37244 1996-01-01 . 1997-01-01 39190 1998-01-01 40668 1999-01-01 41640 2000-01-01 42746 2001-01-01 42815 2002-01-01 44324 2003-01-01 45915 2004-01-01 47209 2005-01-01 48187 2006-01-01 48729 2007-01-01 51344 2008-01-01 52050 2009-01-01 47921 2010-01-01 47495 2011-01-01 49975 2012-01-01 50586 2013-01-01 50482 2014-01-01 50925 2015-01-01 53579 2016-01-01 52858 2017-01-01 55681 2018-01-01 59842 2019-01-01 63284 2020-01-01 60809 2021-01-01 69800 2022-01-01 66900