Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ohio
Series ID MHICILBOH39000A052NCEN
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 2:32 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 27700
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29925
1994-01-01 .
1995-01-01 32705
1996-01-01 32807
1997-01-01 34731
1998-01-01 37324
1999-01-01 38585
2000-01-01 40473
2001-01-01 40537
2002-01-01 40764
2003-01-01 41865
2004-01-01 42128
2005-01-01 43214
2006-01-01 44263
2007-01-01 46344
2008-01-01 47695
2009-01-01 45121
2010-01-01 44860
2011-01-01 45487
2012-01-01 46582
2013-01-01 47736
2014-01-01 48991
2015-01-01 50853
2016-01-01 52083
2017-01-01 53670
2018-01-01 55735
2019-01-01 58147
2020-01-01 59900
2021-01-01 61832
2022-01-01 65173
2023-01-01 67151

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