Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, IN
Series ID MHICIUBIN18095A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 29298
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33310
1994-01-01 .
1995-01-01 37023
1996-01-01 .
1997-01-01 39092
1998-01-01 40061
1999-01-01 40093
2000-01-01 42749
2001-01-01 41530
2002-01-01 41731
2003-01-01 42062
2004-01-01 43057
2005-01-01 42980
2006-01-01 43070
2007-01-01 45354
2008-01-01 46659
2009-01-01 43484
2010-01-01 41315
2011-01-01 44388
2012-01-01 44645
2013-01-01 42795
2014-01-01 46772
2015-01-01 47064
2016-01-01 48926
2017-01-01 48454
2018-01-01 52142
2019-01-01 57489
2020-01-01 54838
2021-01-01 57256
2022-01-01 61982
2023-01-01 65606

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