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 Woodson County, KS Series ID: MHICILBKS20207A052NCEN 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 16841 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 20342 1994-01-01 . 1995-01-01 19595 1996-01-01 . 1997-01-01 23193 1998-01-01 22458 1999-01-01 23897 2000-01-01 24396 2001-01-01 24285 2002-01-01 23880 2003-01-01 24811 2004-01-01 26293 2005-01-01 25761 2006-01-01 26327 2007-01-01 27279 2008-01-01 29594 2009-01-01 23502 2010-01-01 30002 2011-01-01 30172 2012-01-01 29477 2013-01-01 38380 2014-01-01 31865 2015-01-01 33505 2016-01-01 31763 2017-01-01 34723 2018-01-01 40233 2019-01-01 39499 2020-01-01 38746 2021-01-01 37248 2022-01-01 43307