Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Washington County, IA
Series ID MHICIUBIA19183A052NCEN
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 27028
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33078
1994-01-01 .
1995-01-01 36181
1996-01-01 .
1997-01-01 39435
1998-01-01 40444
1999-01-01 41133
2000-01-01 43522
2001-01-01 43152
2002-01-01 43613
2003-01-01 44413
2004-01-01 46826
2005-01-01 45680
2006-01-01 49432
2007-01-01 52255
2008-01-01 53572
2009-01-01 53871
2010-01-01 49995
2011-01-01 55203
2012-01-01 57845
2013-01-01 57667
2014-01-01 60094
2015-01-01 60296
2016-01-01 61533
2017-01-01 64554
2018-01-01 69737
2019-01-01 69512
2020-01-01 69467
2021-01-01 72857
2022-01-01 77272

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