Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Decatur County, IN
Series ID MHICIUBIN18031A052NCEN
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 29965
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35877
1994-01-01 .
1995-01-01 39845
1996-01-01 .
1997-01-01 43047
1998-01-01 43934
1999-01-01 43499
2000-01-01 45882
2001-01-01 44858
2002-01-01 45780
2003-01-01 45942
2004-01-01 47068
2005-01-01 48151
2006-01-01 47624
2007-01-01 49043
2008-01-01 53795
2009-01-01 49149
2010-01-01 52060
2011-01-01 48431
2012-01-01 51013
2013-01-01 51953
2014-01-01 54842
2015-01-01 56522
2016-01-01 54946
2017-01-01 59599
2018-01-01 63019
2019-01-01 66596
2020-01-01 69598
2021-01-01 70926
2022-01-01 73186

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