Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fayette County, OH
Series ID MHICIUBOH39047A052NCEN
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 24714
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28818
1994-01-01 .
1995-01-01 33257
1996-01-01 .
1997-01-01 35453
1998-01-01 37365
1999-01-01 37870
2000-01-01 40348
2001-01-01 39698
2002-01-01 40269
2003-01-01 41648
2004-01-01 42220
2005-01-01 43850
2006-01-01 41334
2007-01-01 45438
2008-01-01 48763
2009-01-01 40409
2010-01-01 42654
2011-01-01 39066
2012-01-01 45849
2013-01-01 42897
2014-01-01 48087
2015-01-01 49180
2016-01-01 47563
2017-01-01 50512
2018-01-01 52034
2019-01-01 55256
2020-01-01 54695
2021-01-01 63151
2022-01-01 63389
2023-01-01 70232

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