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 Asotin County, WA Series ID: MHICILBWA53003A052NCEN 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 1:11 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 21380 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24607 1994-01-01 . 1995-01-01 27525 1996-01-01 . 1997-01-01 28777 1998-01-01 30380 1999-01-01 30997 2000-01-01 31852 2001-01-01 30873 2002-01-01 31441 2003-01-01 32655 2004-01-01 33573 2005-01-01 32911 2006-01-01 34900 2007-01-01 39577 2008-01-01 37449 2009-01-01 37356 2010-01-01 36833 2011-01-01 38361 2012-01-01 38797 2013-01-01 39233 2014-01-01 39944 2015-01-01 41857 2016-01-01 42575 2017-01-01 46610 2018-01-01 45443 2019-01-01 49802 2020-01-01 45834 2021-01-01 50813 2022-01-01 60945