Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bell County, KY
Series ID MHICIUBKY21013A052NCEN
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 17857
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18477
1994-01-01 .
1995-01-01 21881
1996-01-01 .
1997-01-01 23136
1998-01-01 24624
1999-01-01 21866
2000-01-01 22201
2001-01-01 21438
2002-01-01 21826
2003-01-01 22779
2004-01-01 23609
2005-01-01 23166
2006-01-01 25130
2007-01-01 25330
2008-01-01 27138
2009-01-01 26842
2010-01-01 29339
2011-01-01 27143
2012-01-01 28097
2013-01-01 28172
2014-01-01 27214
2015-01-01 26407
2016-01-01 28761
2017-01-01 31182
2018-01-01 32367
2019-01-01 34253
2020-01-01 34480
2021-01-01 34585
2022-01-01 38108
2023-01-01 39408

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