Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Whitman County, WA
Series ID MHICIUBWA53075A052NCEN
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 28047
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31986
1994-01-01 .
1995-01-01 34223
1996-01-01 .
1997-01-01 37075
1998-01-01 38182
1999-01-01 32916
2000-01-01 33962
2001-01-01 32678
2002-01-01 33001
2003-01-01 33326
2004-01-01 34271
2005-01-01 34335
2006-01-01 36954
2007-01-01 39956
2008-01-01 43491
2009-01-01 39958
2010-01-01 42497
2011-01-01 38342
2012-01-01 34910
2013-01-01 46370
2014-01-01 45767
2015-01-01 47770
2016-01-01 46526
2017-01-01 49192
2018-01-01 49323
2019-01-01 50954
2020-01-01 59449
2021-01-01 59189
2022-01-01 58917

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