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 Webster County, NE Series ID: MHICIUBNE31181A052NCEN 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 22995 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27052 1994-01-01 . 1995-01-01 27719 1996-01-01 . 1997-01-01 31179 1998-01-01 31560 1999-01-01 32258 2000-01-01 33888 2001-01-01 33462 2002-01-01 32691 2003-01-01 34581 2004-01-01 35864 2005-01-01 37936 2006-01-01 37757 2007-01-01 39103 2008-01-01 40586 2009-01-01 40729 2010-01-01 41030 2011-01-01 42612 2012-01-01 44038 2013-01-01 46309 2014-01-01 45228 2015-01-01 43798 2016-01-01 45469 2017-01-01 50288 2018-01-01 49846 2019-01-01 54618 2020-01-01 59203 2021-01-01 62611 2022-01-01 67488