Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Keith County, NE Series ID: MHICIUBNE31101A052NCEN 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 26213 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30377 1994-01-01 . 1995-01-01 32612 1996-01-01 . 1997-01-01 35387 1998-01-01 35101 1999-01-01 34748 2000-01-01 36477 2001-01-01 35521 2002-01-01 35767 2003-01-01 36062 2004-01-01 37606 2005-01-01 41937 2006-01-01 39052 2007-01-01 39968 2008-01-01 45014 2009-01-01 43498 2010-01-01 45147 2011-01-01 43721 2012-01-01 45288 2013-01-01 47048 2014-01-01 49699 2015-01-01 50820 2016-01-01 51207 2017-01-01 52852 2018-01-01 56903 2019-01-01 56769 2020-01-01 63890 2021-01-01 59961 2022-01-01 65193