Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fayette County, OH
Series ID MHICILBOH39047A052NCEN
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 3:13 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 20288
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24366
1994-01-01 .
1995-01-01 27359
1996-01-01 .
1997-01-01 29485
1998-01-01 31442
1999-01-01 33312
2000-01-01 34808
2001-01-01 34585
2002-01-01 35124
2003-01-01 36757
2004-01-01 37313
2005-01-01 38006
2006-01-01 37225
2007-01-01 38547
2008-01-01 40642
2009-01-01 34818
2010-01-01 37846
2011-01-01 34302
2012-01-01 38351
2013-01-01 37165
2014-01-01 41807
2015-01-01 40956
2016-01-01 40951
2017-01-01 41622
2018-01-01 43432
2019-01-01 46790
2020-01-01 45555
2021-01-01 52889
2022-01-01 50413
2023-01-01 56464

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