Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Darke County, OH
Series ID MHICIUBOH39037A052NCEN
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 1:09 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 29899
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33833
1994-01-01 .
1995-01-01 37363
1996-01-01 .
1997-01-01 40212
1998-01-01 41280
1999-01-01 41182
2000-01-01 43835
2001-01-01 43042
2002-01-01 42962
2003-01-01 43611
2004-01-01 44179
2005-01-01 44905
2006-01-01 45167
2007-01-01 48592
2008-01-01 46756
2009-01-01 42803
2010-01-01 43777
2011-01-01 44176
2012-01-01 47198
2013-01-01 47027
2014-01-01 50577
2015-01-01 54158
2016-01-01 57110
2017-01-01 57603
2018-01-01 58525
2019-01-01 60107
2020-01-01 64103
2021-01-01 63584
2022-01-01 71575

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