Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Garfield County, WA
Series ID MHICILBWA53023A052NCEN
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 1:53 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 24351
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28311
1994-01-01 .
1995-01-01 29225
1996-01-01 .
1997-01-01 29132
1998-01-01 30045
1999-01-01 30433
2000-01-01 31993
2001-01-01 30764
2002-01-01 30763
2003-01-01 31680
2004-01-01 34168
2005-01-01 33529
2006-01-01 33083
2007-01-01 35806
2008-01-01 36384
2009-01-01 37154
2010-01-01 37494
2011-01-01 41840
2012-01-01 43224
2013-01-01 41516
2014-01-01 41508
2015-01-01 42137
2016-01-01 46737
2017-01-01 47780
2018-01-01 44932
2019-01-01 48017
2020-01-01 47924
2021-01-01 53619
2022-01-01 56747

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