Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Iowa

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Iowa
Series ID MHICILBIA19000A052NCEN
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 1:12 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 25014
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27668
1994-01-01 .
1995-01-01 31847
1996-01-01 31827
1997-01-01 33681
1998-01-01 36363
1999-01-01 38054
2000-01-01 38655
2001-01-01 39770
2002-01-01 39341
2003-01-01 40822
2004-01-01 41330
2005-01-01 43114
2006-01-01 44059
2007-01-01 46771
2008-01-01 48380
2009-01-01 47648
2010-01-01 47421
2011-01-01 48882
2012-01-01 50573
2013-01-01 51764
2014-01-01 53087
2015-01-01 54080
2016-01-01 55677
2017-01-01 57889
2018-01-01 59227
2019-01-01 61069
2020-01-01 61290
2021-01-01 64876
2022-01-01 68834

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