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 Rooks County, KS Series ID: MHICILBKS20163A052NCEN 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 1:12 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 18858 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22038 1994-01-01 . 1995-01-01 24408 1996-01-01 . 1997-01-01 26673 1998-01-01 28056 1999-01-01 28715 2000-01-01 29272 2001-01-01 29094 2002-01-01 28855 2003-01-01 29835 2004-01-01 30237 2005-01-01 31314 2006-01-01 31342 2007-01-01 34005 2008-01-01 35888 2009-01-01 39440 2010-01-01 34969 2011-01-01 36126 2012-01-01 37537 2013-01-01 36921 2014-01-01 45192 2015-01-01 41224 2016-01-01 41529 2017-01-01 39626 2018-01-01 42756 2019-01-01 43819 2020-01-01 43801 2021-01-01 46238 2022-01-01 51414