Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Iowa County, IA
Series ID MHICIUBIA19095A052NCEN
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 29558
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35000
1994-01-01 .
1995-01-01 38531
1996-01-01 .
1997-01-01 43132
1998-01-01 44440
1999-01-01 44854
2000-01-01 47105
2001-01-01 46431
2002-01-01 47041
2003-01-01 47445
2004-01-01 50157
2005-01-01 51920
2006-01-01 53130
2007-01-01 56528
2008-01-01 58914
2009-01-01 56582
2010-01-01 57243
2011-01-01 59289
2012-01-01 60662
2013-01-01 62800
2014-01-01 63533
2015-01-01 67047
2016-01-01 63375
2017-01-01 70561
2018-01-01 70594
2019-01-01 73543
2020-01-01 75879
2021-01-01 73998
2022-01-01 81656

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