Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lucas County, OH
Series ID MHICIUBOH39095A052NCEN
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 31770
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34139
1994-01-01 .
1995-01-01 36262
1996-01-01 .
1997-01-01 39755
1998-01-01 41530
1999-01-01 40505
2000-01-01 42908
2001-01-01 41880
2002-01-01 42088
2003-01-01 42570
2004-01-01 42700
2005-01-01 42257
2006-01-01 43707
2007-01-01 46230
2008-01-01 42494
2009-01-01 41635
2010-01-01 40637
2011-01-01 40127
2012-01-01 42127
2013-01-01 42471
2014-01-01 43712
2015-01-01 44913
2016-01-01 47531
2017-01-01 49219
2018-01-01 49876
2019-01-01 52111
2020-01-01 55134
2021-01-01 56420
2022-01-01 60253
2023-01-01 62270

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