Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Douglas County, WA
Series ID MHICIUBWA53017A052NCEN
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 28022
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34319
1994-01-01 .
1995-01-01 38243
1996-01-01 .
1997-01-01 39074
1998-01-01 39860
1999-01-01 39568
2000-01-01 41682
2001-01-01 40370
2002-01-01 41573
2003-01-01 42062
2004-01-01 43987
2005-01-01 46878
2006-01-01 47553
2007-01-01 45919
2008-01-01 53183
2009-01-01 51774
2010-01-01 51883
2011-01-01 50923
2012-01-01 52180
2013-01-01 52952
2014-01-01 55045
2015-01-01 56189
2016-01-01 54496
2017-01-01 58358
2018-01-01 69304
2019-01-01 68481
2020-01-01 72868
2021-01-01 70219
2022-01-01 88423

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