Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clallam County, WA
Series ID MHICILBWA53009A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 24389
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26831
1994-01-01 .
1995-01-01 29177
1996-01-01 .
1997-01-01 31244
1998-01-01 32707
1999-01-01 33664
2000-01-01 34708
2001-01-01 33900
2002-01-01 34707
2003-01-01 36276
2004-01-01 37904
2005-01-01 39509
2006-01-01 39277
2007-01-01 39769
2008-01-01 44626
2009-01-01 40541
2010-01-01 39028
2011-01-01 44607
2012-01-01 40940
2013-01-01 43860
2014-01-01 43543
2015-01-01 43325
2016-01-01 45637
2017-01-01 46071
2018-01-01 53277
2019-01-01 53640
2020-01-01 52456
2021-01-01 58386
2022-01-01 62471
2023-01-01 62316

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