Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Union County, IN
Series ID MHICIUBIN18161A052NCEN
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 1:10 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 26797
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32352
1994-01-01 .
1995-01-01 36307
1996-01-01 .
1997-01-01 38700
1998-01-01 40874
1999-01-01 39232
2000-01-01 40661
2001-01-01 40006
2002-01-01 40411
2003-01-01 41544
2004-01-01 44311
2005-01-01 49087
2006-01-01 46754
2007-01-01 44442
2008-01-01 45710
2009-01-01 48055
2010-01-01 48377
2011-01-01 47946
2012-01-01 49026
2013-01-01 49888
2014-01-01 52177
2015-01-01 49627
2016-01-01 50677
2017-01-01 53305
2018-01-01 55267
2019-01-01 60011
2020-01-01 67113
2021-01-01 70786
2022-01-01 68307

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