Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wayne County, OH
Series ID MHICIUBOH39169A052NCEN
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 3:11 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 31787
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35943
1994-01-01 .
1995-01-01 38879
1996-01-01 .
1997-01-01 41000
1998-01-01 42794
1999-01-01 42970
2000-01-01 45539
2001-01-01 44265
2002-01-01 44468
2003-01-01 44776
2004-01-01 45862
2005-01-01 46757
2006-01-01 48473
2007-01-01 49105
2008-01-01 50195
2009-01-01 49911
2010-01-01 48374
2011-01-01 49362
2012-01-01 50673
2013-01-01 51877
2014-01-01 53021
2015-01-01 55289
2016-01-01 55532
2017-01-01 59668
2018-01-01 61714
2019-01-01 62794
2020-01-01 72283
2021-01-01 64006
2022-01-01 74394
2023-01-01 73927

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