Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lee County, AR
Series ID MHICILBAR05077A052NCEN
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 10742
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 12600
1994-01-01 .
1995-01-01 14388
1996-01-01 .
1997-01-01 16004
1998-01-01 17495
1999-01-01 19540
2000-01-01 19999
2001-01-01 19381
2002-01-01 18730
2003-01-01 20433
2004-01-01 20112
2005-01-01 20408
2006-01-01 20618
2007-01-01 21996
2008-01-01 22599
2009-01-01 21310
2010-01-01 23421
2011-01-01 26216
2012-01-01 23513
2013-01-01 24337
2014-01-01 25109
2015-01-01 26104
2016-01-01 23981
2017-01-01 25660
2018-01-01 24961
2019-01-01 27387
2020-01-01 27591
2021-01-01 26180
2022-01-01 30936
2023-01-01 31946

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