Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marion County, IA
Series ID MHICIUBIA19125A052NCEN
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 31615
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36670
1994-01-01 .
1995-01-01 40693
1996-01-01 .
1997-01-01 45110
1998-01-01 47277
1999-01-01 46627
2000-01-01 48539
2001-01-01 46953
2002-01-01 47238
2003-01-01 47561
2004-01-01 50192
2005-01-01 50876
2006-01-01 53712
2007-01-01 57821
2008-01-01 54025
2009-01-01 55832
2010-01-01 56986
2011-01-01 54444
2012-01-01 59535
2013-01-01 61899
2014-01-01 61477
2015-01-01 62340
2016-01-01 64744
2017-01-01 65491
2018-01-01 69176
2019-01-01 71895
2020-01-01 71802
2021-01-01 75086
2022-01-01 81347

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