Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Livingston County, KY
Series ID MHICILBKY21139A052NCEN
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 1:54 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 19302
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22396
1994-01-01 .
1995-01-01 25615
1996-01-01 .
1997-01-01 27772
1998-01-01 29513
1999-01-01 30213
2000-01-01 30981
2001-01-01 30425
2002-01-01 30784
2003-01-01 31595
2004-01-01 32402
2005-01-01 39115
2006-01-01 33480
2007-01-01 34855
2008-01-01 35057
2009-01-01 38106
2010-01-01 35041
2011-01-01 34856
2012-01-01 35885
2013-01-01 37300
2014-01-01 38391
2015-01-01 40224
2016-01-01 40593
2017-01-01 39599
2018-01-01 43595
2019-01-01 45215
2020-01-01 46395
2021-01-01 42546
2022-01-01 49384

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