Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Audubon County, IA
Series ID MHICIUBIA19009A052NCEN
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 24163
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28341
1994-01-01 .
1995-01-01 30572
1996-01-01 .
1997-01-01 34463
1998-01-01 34449
1999-01-01 34539
2000-01-01 36722
2001-01-01 36780
2002-01-01 37530
2003-01-01 38018
2004-01-01 41586
2005-01-01 42523
2006-01-01 42364
2007-01-01 43026
2008-01-01 45966
2009-01-01 49718
2010-01-01 49524
2011-01-01 49686
2012-01-01 52322
2013-01-01 51812
2014-01-01 55036
2015-01-01 55489
2016-01-01 54506
2017-01-01 54763
2018-01-01 56542
2019-01-01 59143
2020-01-01 64885
2021-01-01 72510
2022-01-01 68221

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