Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Butler County, OH
Series ID MHICILBOH39017A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:54 PM 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 29432
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35232
1994-01-01 .
1995-01-01 38120
1996-01-01 .
1997-01-01 40682
1998-01-01 42510
1999-01-01 43392
2000-01-01 44963
2001-01-01 44151
2002-01-01 44581
2003-01-01 45175
2004-01-01 46955
2005-01-01 48068
2006-01-01 51484
2007-01-01 51107
2008-01-01 50856
2009-01-01 51202
2010-01-01 52284
2011-01-01 51232
2012-01-01 53448
2013-01-01 53345
2014-01-01 56387
2015-01-01 56010
2016-01-01 60771
2017-01-01 61867
2018-01-01 58818
2019-01-01 65878
2020-01-01 66159
2021-01-01 69942
2022-01-01 71908

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