Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ohio
Series ID MHICIUBOH39000A052NCEN
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 29552
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31867
1994-01-01 .
1995-01-01 35211
1996-01-01 35588
1997-01-01 37326
1998-01-01 40128
1999-01-01 40828
2000-01-01 43634
2001-01-01 43022
2002-01-01 43728
2003-01-01 44373
2004-01-01 44614
2005-01-01 43880
2006-01-01 44955
2007-01-01 46946
2008-01-01 48326
2009-01-01 45813
2010-01-01 45442
2011-01-01 46119
2012-01-01 47164
2013-01-01 48540
2014-01-01 49707
2015-01-01 51319
2016-01-01 52631
2017-01-01 54484
2018-01-01 56575
2019-01-01 59261
2020-01-01 60820
2021-01-01 62740
2022-01-01 66399
2023-01-01 68595

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