Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, WA

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, WA
Series ID MHICILBWA53043A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:07 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 (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.
DATE VALUE
1989-01-01 24740
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28143
1994-01-01 .
1995-01-01 30660
1996-01-01 .
1997-01-01 31732
1998-01-01 32390
1999-01-01 32635
2000-01-01 33713
2001-01-01 33497
2002-01-01 34110
2003-01-01 34982
2004-01-01 36322
2005-01-01 35320
2006-01-01 37899
2007-01-01 39293
2008-01-01 41515
2009-01-01 40860
2010-01-01 45152
2011-01-01 43731
2012-01-01 43235
2013-01-01 43464
2014-01-01 45180
2015-01-01 46067
2016-01-01 49015
2017-01-01 47997
2018-01-01 48229
2019-01-01 56115
2020-01-01 53553
2021-01-01 58472
2022-01-01 60244
2023-01-01 65645
2024-01-01 58012

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