Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bullitt County, KY
Series ID MHICILBKY21029A052NCEN
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 2:33 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 26340
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31989
1994-01-01 .
1995-01-01 36611
1996-01-01 .
1997-01-01 38180
1998-01-01 39430
1999-01-01 41528
2000-01-01 43508
2001-01-01 43321
2002-01-01 43857
2003-01-01 45293
2004-01-01 46101
2005-01-01 46594
2006-01-01 48429
2007-01-01 46500
2008-01-01 49948
2009-01-01 45447
2010-01-01 47956
2011-01-01 47877
2012-01-01 53218
2013-01-01 53675
2014-01-01 51662
2015-01-01 51434
2016-01-01 59502
2017-01-01 59113
2018-01-01 56277
2019-01-01 62088
2020-01-01 64807
2021-01-01 66254
2022-01-01 72046
2023-01-01 70491

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