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 Stanton County, NE Series ID: MHICILBNE31167A052NCEN 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 1:54 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 24055 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28103 1994-01-01 . 1995-01-01 26866 1996-01-01 . 1997-01-01 32244 1998-01-01 32578 1999-01-01 34267 2000-01-01 35109 2001-01-01 35325 2002-01-01 34198 2003-01-01 36920 2004-01-01 38554 2005-01-01 36595 2006-01-01 38818 2007-01-01 40938 2008-01-01 44843 2009-01-01 42319 2010-01-01 45660 2011-01-01 45157 2012-01-01 49908 2013-01-01 49272 2014-01-01 50351 2015-01-01 51221 2016-01-01 52433 2017-01-01 52081 2018-01-01 61659 2019-01-01 55095 2020-01-01 54276 2021-01-01 65177 2022-01-01 67101