Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Columbia County, WA
Series ID MHICILBWA53013A052NCEN
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 21159
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25641
1994-01-01 .
1995-01-01 26949
1996-01-01 .
1997-01-01 28869
1998-01-01 30365
1999-01-01 31412
2000-01-01 32906
2001-01-01 32011
2002-01-01 32519
2003-01-01 32997
2004-01-01 33720
2005-01-01 33180
2006-01-01 33543
2007-01-01 35663
2008-01-01 37011
2009-01-01 36810
2010-01-01 37244
2011-01-01 38112
2012-01-01 37934
2013-01-01 38122
2014-01-01 41255
2015-01-01 37109
2016-01-01 43573
2017-01-01 45025
2018-01-01 48617
2019-01-01 50043
2020-01-01 50049
2021-01-01 52357
2022-01-01 55089

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