Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Owen County, IN
Series ID MHICILBIN18119A052NCEN
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 1:54 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 22275
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26309
1994-01-01 .
1995-01-01 28564
1996-01-01 .
1997-01-01 29734
1998-01-01 31868
1999-01-01 33023
2000-01-01 34229
2001-01-01 34124
2002-01-01 34450
2003-01-01 35102
2004-01-01 36251
2005-01-01 36161
2006-01-01 37909
2007-01-01 38200
2008-01-01 39668
2009-01-01 39390
2010-01-01 39577
2011-01-01 37662
2012-01-01 37824
2013-01-01 39391
2014-01-01 42220
2015-01-01 39417
2016-01-01 41723
2017-01-01 44518
2018-01-01 44877
2019-01-01 47378
2020-01-01 46260
2021-01-01 52344
2022-01-01 56139

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