Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lawrence County, KY
Series ID MHICIUBKY21127A052NCEN
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 2:31 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 18792
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20851
1994-01-01 .
1995-01-01 24658
1996-01-01 .
1997-01-01 25754
1998-01-01 27121
1999-01-01 24916
2000-01-01 25524
2001-01-01 24889
2002-01-01 25865
2003-01-01 26994
2004-01-01 28219
2005-01-01 28357
2006-01-01 26661
2007-01-01 32276
2008-01-01 31768
2009-01-01 33975
2010-01-01 36360
2011-01-01 35622
2012-01-01 35233
2013-01-01 36744
2014-01-01 36134
2015-01-01 38888
2016-01-01 37449
2017-01-01 31650
2018-01-01 40617
2019-01-01 42562
2020-01-01 42936
2021-01-01 47209
2022-01-01 48169
2023-01-01 51209

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