Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington County, IA
Series ID MHICILBIA19183A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:14 AM 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 22644
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28697
1994-01-01 .
1995-01-01 30300
1996-01-01 .
1997-01-01 33489
1998-01-01 34556
1999-01-01 36206
2000-01-01 37622
2001-01-01 37820
2002-01-01 38230
2003-01-01 39276
2004-01-01 41355
2005-01-01 39832
2006-01-01 43098
2007-01-01 48276
2008-01-01 46688
2009-01-01 45650
2010-01-01 44241
2011-01-01 45915
2012-01-01 49931
2013-01-01 51293
2014-01-01 52392
2015-01-01 50270
2016-01-01 53097
2017-01-01 55252
2018-01-01 61961
2019-01-01 56948
2020-01-01 60655
2021-01-01 58665
2022-01-01 63806
2023-01-01 68895

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