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 Okanogan County, WA Series ID: MHICIUBWA53047A052NCEN 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 1:09 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 22702 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26112 1994-01-01 . 1995-01-01 28907 1996-01-01 . 1997-01-01 30341 1998-01-01 30881 1999-01-01 30992 2000-01-01 31910 2001-01-01 30987 2002-01-01 31429 2003-01-01 32271 2004-01-01 33750 2005-01-01 34761 2006-01-01 37959 2007-01-01 38813 2008-01-01 41291 2009-01-01 41324 2010-01-01 38376 2011-01-01 41733 2012-01-01 41549 2013-01-01 42399 2014-01-01 40819 2015-01-01 45494 2016-01-01 45028 2017-01-01 47725 2018-01-01 51432 2019-01-01 47811 2020-01-01 55635 2021-01-01 59953 2022-01-01 63092