Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Spokane County, WA Series ID: MHICILBWA53063A052NCEN 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 23572 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28653 1994-01-01 . 1995-01-01 30998 1996-01-01 . 1997-01-01 32851 1998-01-01 34351 1999-01-01 34622 2000-01-01 35631 2001-01-01 35050 2002-01-01 36177 2003-01-01 37618 2004-01-01 38231 2005-01-01 39874 2006-01-01 41315 2007-01-01 45121 2008-01-01 46593 2009-01-01 42892 2010-01-01 45353 2011-01-01 46880 2012-01-01 46012 2013-01-01 45873 2014-01-01 48190 2015-01-01 47149 2016-01-01 51148 2017-01-01 51643 2018-01-01 57344 2019-01-01 57897 2020-01-01 58045 2021-01-01 63518 2022-01-01 66073