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 Chelan County, WA Series ID: MHICILBWA53007A052NCEN 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 1:53 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 21764 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25534 1994-01-01 . 1995-01-01 28683 1996-01-01 . 1997-01-01 30808 1998-01-01 32081 1999-01-01 33999 2000-01-01 35374 2001-01-01 34809 2002-01-01 35392 2003-01-01 36181 2004-01-01 37519 2005-01-01 37006 2006-01-01 43410 2007-01-01 41566 2008-01-01 41947 2009-01-01 45356 2010-01-01 42817 2011-01-01 45343 2012-01-01 42022 2013-01-01 47916 2014-01-01 45028 2015-01-01 50093 2016-01-01 47133 2017-01-01 52580 2018-01-01 53129 2019-01-01 55758 2020-01-01 54947 2021-01-01 57816 2022-01-01 77122