Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Auglaize County, OH
Series ID MHICIUBOH39011A052NCEN
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 3:11 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 32841
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37186
1994-01-01 .
1995-01-01 40530
1996-01-01 .
1997-01-01 42771
1998-01-01 44596
1999-01-01 45252
2000-01-01 48113
2001-01-01 46894
2002-01-01 46912
2003-01-01 47692
2004-01-01 49081
2005-01-01 50446
2006-01-01 52621
2007-01-01 54309
2008-01-01 56448
2009-01-01 51024
2010-01-01 53587
2011-01-01 54728
2012-01-01 55913
2013-01-01 58105
2014-01-01 56306
2015-01-01 62819
2016-01-01 63164
2017-01-01 68058
2018-01-01 69995
2019-01-01 67685
2020-01-01 76197
2021-01-01 69028
2022-01-01 76385
2023-01-01 79587

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