Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chelan County, WA
Series ID MHICIUBWA53007A052NCEN
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 26253
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30029
1994-01-01 .
1995-01-01 34815
1996-01-01 .
1997-01-01 36939
1998-01-01 38120
1999-01-01 38680
2000-01-01 41034
2001-01-01 39897
2002-01-01 40595
2003-01-01 40999
2004-01-01 42521
2005-01-01 43258
2006-01-01 49000
2007-01-01 48975
2008-01-01 48237
2009-01-01 50817
2010-01-01 48305
2011-01-01 51573
2012-01-01 49438
2013-01-01 52150
2014-01-01 53320
2015-01-01 57115
2016-01-01 56727
2017-01-01 61988
2018-01-01 61357
2019-01-01 63918
2020-01-01 68145
2021-01-01 71584
2022-01-01 86272

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