Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Delaware County, OH
Series ID MHICIUBOH39041A052NCEN
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 1:51 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 41871
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 47073
1994-01-01 .
1995-01-01 55023
1996-01-01 .
1997-01-01 59719
1998-01-01 63738
1999-01-01 70029
2000-01-01 74532
2001-01-01 75722
2002-01-01 78969
2003-01-01 78171
2004-01-01 79997
2005-01-01 79920
2006-01-01 83183
2007-01-01 84836
2008-01-01 93316
2009-01-01 89276
2010-01-01 88517
2011-01-01 91353
2012-01-01 91795
2013-01-01 94905
2014-01-01 102202
2015-01-01 102166
2016-01-01 108660
2017-01-01 111989
2018-01-01 109822
2019-01-01 116703
2020-01-01 119369
2021-01-01 124752
2022-01-01 128513

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