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 Rawlins County, KS Series ID: MHICIUBKS20153A052NCEN 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 1:10 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 23485 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27543 1994-01-01 . 1995-01-01 30291 1996-01-01 . 1997-01-01 32685 1998-01-01 33740 1999-01-01 34833 2000-01-01 35844 2001-01-01 34090 2002-01-01 32376 2003-01-01 33410 2004-01-01 32182 2005-01-01 34382 2006-01-01 37336 2007-01-01 39483 2008-01-01 42233 2009-01-01 41090 2010-01-01 43881 2011-01-01 44812 2012-01-01 48816 2013-01-01 50016 2014-01-01 49466 2015-01-01 52156 2016-01-01 51945 2017-01-01 49415 2018-01-01 51788 2019-01-01 56909 2020-01-01 62147 2021-01-01 54772 2022-01-01 66101