Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Klickitat County, WA
Series ID MHICIUBWA53039A052NCEN
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 26879
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29745
1994-01-01 .
1995-01-01 34104
1996-01-01 .
1997-01-01 36305
1998-01-01 37654
1999-01-01 36780
2000-01-01 38389
2001-01-01 37302
2002-01-01 38199
2003-01-01 38431
2004-01-01 39855
2005-01-01 41974
2006-01-01 43005
2007-01-01 46215
2008-01-01 44555
2009-01-01 45044
2010-01-01 46261
2011-01-01 46926
2012-01-01 50057
2013-01-01 52380
2014-01-01 53973
2015-01-01 55094
2016-01-01 55308
2017-01-01 60945
2018-01-01 61044
2019-01-01 67424
2020-01-01 65794
2021-01-01 68717
2022-01-01 76908

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