Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ohio County, KY
Series ID MHICIUBKY21183A052NCEN
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 2:01 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 21732
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23757
1994-01-01 .
1995-01-01 27133
1996-01-01 .
1997-01-01 29446
1998-01-01 31146
1999-01-01 31146
2000-01-01 32964
2001-01-01 32533
2002-01-01 33188
2003-01-01 34299
2004-01-01 35096
2005-01-01 36284
2006-01-01 36212
2007-01-01 41786
2008-01-01 38582
2009-01-01 40902
2010-01-01 38723
2011-01-01 40255
2012-01-01 41210
2013-01-01 43272
2014-01-01 41879
2015-01-01 44545
2016-01-01 43676
2017-01-01 47526
2018-01-01 48582
2019-01-01 51693
2020-01-01 51632
2021-01-01 58868
2022-01-01 54798
2023-01-01 61352

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