Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Columbia County, WA
Series ID MHICIUBWA53013A052NCEN
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 1:09 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 25521
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30012
1994-01-01 .
1995-01-01 32872
1996-01-01 .
1997-01-01 35132
1998-01-01 36560
1999-01-01 36037
2000-01-01 38479
2001-01-01 36867
2002-01-01 37373
2003-01-01 37449
2004-01-01 38215
2005-01-01 40018
2006-01-01 40251
2007-01-01 43735
2008-01-01 45378
2009-01-01 45370
2010-01-01 45244
2011-01-01 46814
2012-01-01 45734
2013-01-01 46542
2014-01-01 49675
2015-01-01 43309
2016-01-01 52215
2017-01-01 55619
2018-01-01 58783
2019-01-01 62633
2020-01-01 66391
2021-01-01 66943
2022-01-01 70781

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