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 Morrill County, NE Series ID: MHICIUBNE31123A052NCEN 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 23177 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27365 1994-01-01 . 1995-01-01 28390 1996-01-01 . 1997-01-01 31349 1998-01-01 31927 1999-01-01 31705 2000-01-01 33812 2001-01-01 33253 2002-01-01 33299 2003-01-01 34279 2004-01-01 35886 2005-01-01 37147 2006-01-01 36660 2007-01-01 40166 2008-01-01 42906 2009-01-01 41908 2010-01-01 44043 2011-01-01 46272 2012-01-01 47262 2013-01-01 50540 2014-01-01 51649 2015-01-01 54189 2016-01-01 48916 2017-01-01 47590 2018-01-01 54105 2019-01-01 54541 2020-01-01 63301 2021-01-01 59226 2022-01-01 66239