Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ohio County, IN
Series ID MHICIUBIN18115A052NCEN
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 2:31 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 27106
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33373
1994-01-01 .
1995-01-01 38212
1996-01-01 .
1997-01-01 42090
1998-01-01 44648
1999-01-01 43392
2000-01-01 45227
2001-01-01 44870
2002-01-01 45399
2003-01-01 44299
2004-01-01 46297
2005-01-01 47642
2006-01-01 50716
2007-01-01 52720
2008-01-01 55230
2009-01-01 54630
2010-01-01 52216
2011-01-01 53025
2012-01-01 54054
2013-01-01 55495
2014-01-01 56718
2015-01-01 58412
2016-01-01 59727
2017-01-01 62439
2018-01-01 63763
2019-01-01 64720
2020-01-01 73025
2021-01-01 72793
2022-01-01 78754
2023-01-01 79431

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