Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Darke County, OH
Series ID MHICILBOH39037A052NCEN
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 1:12 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 25595
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29502
1994-01-01 .
1995-01-01 31357
1996-01-01 .
1997-01-01 34092
1998-01-01 35244
1999-01-01 36100
2000-01-01 37655
2001-01-01 37450
2002-01-01 37321
2003-01-01 38421
2004-01-01 38923
2005-01-01 40506
2006-01-01 40046
2007-01-01 44519
2008-01-01 42569
2009-01-01 38956
2010-01-01 40269
2011-01-01 39954
2012-01-01 41910
2013-01-01 39903
2014-01-01 42643
2015-01-01 48104
2016-01-01 48432
2017-01-01 50305
2018-01-01 49181
2019-01-01 53541
2020-01-01 51761
2021-01-01 55328
2022-01-01 59711

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