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 Nebraska Series ID: MHICIUBNE31000A052NCEN 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 1:52 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 26398 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30240 1994-01-01 . 1995-01-01 33697 1996-01-01 35430 1997-01-01 37013 1998-01-01 38969 1999-01-01 40029 2000-01-01 42259 2001-01-01 42636 2002-01-01 42917 2003-01-01 43509 2004-01-01 43706 2005-01-01 44373 2006-01-01 45919 2007-01-01 47720 2008-01-01 50509 2009-01-01 48214 2010-01-01 49222 2011-01-01 50936 2012-01-01 51325 2013-01-01 51987 2014-01-01 53467 2015-01-01 55875 2016-01-01 57718 2017-01-01 60867 2018-01-01 60735 2019-01-01 64199 2020-01-01 65931 2021-01-01 67987 2022-01-01 70960