Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Allen County, KS Series ID: MHICILBKS20001A052NCEN 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 2019-01-01 Last Updated: 2020-12-10 6:55 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 19792 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22918 1994-01-01 . 1995-01-01 23893 1996-01-01 . 1997-01-01 27080 1998-01-01 27805 1999-01-01 29193 2000-01-01 30077 2001-01-01 29502 2002-01-01 29210 2003-01-01 30427 2004-01-01 31417 2005-01-01 31057 2006-01-01 36220 2007-01-01 33289 2008-01-01 34262 2009-01-01 34640 2010-01-01 36890 2011-01-01 33692 2012-01-01 34490 2013-01-01 37112 2014-01-01 35663 2015-01-01 38245 2016-01-01 37750 2017-01-01 38551 2018-01-01 40081 2019-01-01 41862