Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Brown County, OH
Series ID MHICIUBOH39015A052NCEN
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 26408
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30173
1994-01-01 .
1995-01-01 34319
1996-01-01 .
1997-01-01 36144
1998-01-01 37796
1999-01-01 39342
2000-01-01 41828
2001-01-01 40777
2002-01-01 41347
2003-01-01 42689
2004-01-01 43823
2005-01-01 42486
2006-01-01 45904
2007-01-01 46577
2008-01-01 48325
2009-01-01 48134
2010-01-01 44336
2011-01-01 46624
2012-01-01 47584
2013-01-01 46610
2014-01-01 50347
2015-01-01 51162
2016-01-01 56006
2017-01-01 52440
2018-01-01 60213
2019-01-01 62867
2020-01-01 64547
2021-01-01 63245
2022-01-01 69947
2023-01-01 74188

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