Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Benton County, WA
Series ID MHICILBWA53005A052NCEN
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 (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 30373
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37630
1994-01-01 .
1995-01-01 42502
1996-01-01 .
1997-01-01 42857
1998-01-01 44413
1999-01-01 43749
2000-01-01 44904
2001-01-01 44815
2002-01-01 46880
2003-01-01 48545
2004-01-01 49670
2005-01-01 49384
2006-01-01 49487
2007-01-01 50094
2008-01-01 52886
2009-01-01 54659
2010-01-01 55844
2011-01-01 58804
2012-01-01 55988
2013-01-01 56966
2014-01-01 56072
2015-01-01 59720
2016-01-01 59794
2017-01-01 60895
2018-01-01 64028
2019-01-01 68129
2020-01-01 71898
2021-01-01 73665
2022-01-01 79247

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