Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, IA
Series ID MHICIUBIA19121A052NCEN
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 1:11 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 28462
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34277
1994-01-01 .
1995-01-01 38056
1996-01-01 .
1997-01-01 42278
1998-01-01 44348
1999-01-01 45063
2000-01-01 47238
2001-01-01 47097
2002-01-01 48375
2003-01-01 49565
2004-01-01 52178
2005-01-01 55485
2006-01-01 54103
2007-01-01 60484
2008-01-01 55968
2009-01-01 59845
2010-01-01 56618
2011-01-01 61670
2012-01-01 64233
2013-01-01 64360
2014-01-01 67169
2015-01-01 68944
2016-01-01 70624
2017-01-01 72725
2018-01-01 80771
2019-01-01 80493
2020-01-01 85199
2021-01-01 86917
2022-01-01 89006

Subscribe to the FRED newsletter


Follow us

Back to Top