Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lewis County, WA
Series ID MHICIUBWA53041A052NCEN
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 1:51 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 26852
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30332
1994-01-01 .
1995-01-01 34144
1996-01-01 .
1997-01-01 35430
1998-01-01 36071
1999-01-01 36380
2000-01-01 38075
2001-01-01 37183
2002-01-01 38189
2003-01-01 39082
2004-01-01 40735
2005-01-01 43148
2006-01-01 43756
2007-01-01 46150
2008-01-01 45334
2009-01-01 45281
2010-01-01 42646
2011-01-01 44436
2012-01-01 45062
2013-01-01 43540
2014-01-01 47776
2015-01-01 51061
2016-01-01 50924
2017-01-01 53363
2018-01-01 61004
2019-01-01 61712
2020-01-01 59471
2021-01-01 68356
2022-01-01 73677

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