Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bourbon County, KY
Series ID MHICIUBKY21017A052NCEN
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 2:32 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 24504
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28788
1994-01-01 .
1995-01-01 31870
1996-01-01 .
1997-01-01 36492
1998-01-01 38378
1999-01-01 37185
2000-01-01 39610
2001-01-01 38548
2002-01-01 38373
2003-01-01 39174
2004-01-01 39114
2005-01-01 39019
2006-01-01 42376
2007-01-01 45462
2008-01-01 45226
2009-01-01 41256
2010-01-01 42765
2011-01-01 43700
2012-01-01 42402
2013-01-01 43676
2014-01-01 46143
2015-01-01 49785
2016-01-01 50527
2017-01-01 51108
2018-01-01 53598
2019-01-01 51492
2020-01-01 58373
2021-01-01 64136
2022-01-01 63280
2023-01-01 68506

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