Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Brown County, OH
Series ID MHICILBOH39015A052NCEN
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 21926
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25698
1994-01-01 .
1995-01-01 28313
1996-01-01 .
1997-01-01 30116
1998-01-01 31818
1999-01-01 34519
2000-01-01 36036
2001-01-01 35583
2002-01-01 36061
2003-01-01 37661
2004-01-01 38668
2005-01-01 37471
2006-01-01 40237
2007-01-01 40708
2008-01-01 41498
2009-01-01 41458
2010-01-01 39448
2011-01-01 39738
2012-01-01 40834
2013-01-01 39490
2014-01-01 42621
2015-01-01 43242
2016-01-01 47002
2017-01-01 43974
2018-01-01 50455
2019-01-01 54015
2020-01-01 51587
2021-01-01 54735
2022-01-01 58121
2023-01-01 62390

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