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 Oneida County, WI Series ID: MHICIUBWI55085A052NCEN 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 1:09 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 25711 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30532 1994-01-01 . 1995-01-01 36028 1996-01-01 . 1997-01-01 37801 1998-01-01 39531 1999-01-01 40108 2000-01-01 42533 2001-01-01 41552 2002-01-01 43108 2003-01-01 44039 2004-01-01 45690 2005-01-01 44013 2006-01-01 49481 2007-01-01 46793 2008-01-01 45830 2009-01-01 49447 2010-01-01 47144 2011-01-01 42009 2012-01-01 48079 2013-01-01 50301 2014-01-01 52648 2015-01-01 53507 2016-01-01 53680 2017-01-01 58864 2018-01-01 58450 2019-01-01 66439 2020-01-01 65697 2021-01-01 65025 2022-01-01 67125