Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Whitman County, WA
Series ID MHICILBWA53075A052NCEN
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 (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 23406
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27311
1994-01-01 .
1995-01-01 28011
1996-01-01 .
1997-01-01 30813
1998-01-01 31937
1999-01-01 28271
2000-01-01 28684
2001-01-01 27972
2002-01-01 28323
2003-01-01 29016
2004-01-01 29881
2005-01-01 29008
2006-01-01 31881
2007-01-01 33120
2008-01-01 35891
2009-01-01 33575
2010-01-01 36005
2011-01-01 33378
2012-01-01 29642
2013-01-01 39034
2014-01-01 37907
2015-01-01 39864
2016-01-01 38860
2017-01-01 40634
2018-01-01 41455
2019-01-01 40858
2020-01-01 44683
2021-01-01 47091
2022-01-01 49907

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