Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, AR
Series ID MHICILBAR05079A052NCEN
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 1:55 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 15634
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19486
1994-01-01 .
1995-01-01 20610
1996-01-01 .
1997-01-01 22922
1998-01-01 24629
1999-01-01 26171
2000-01-01 26845
2001-01-01 25672
2002-01-01 24860
2003-01-01 26504
2004-01-01 28150
2005-01-01 29326
2006-01-01 31582
2007-01-01 28151
2008-01-01 31361
2009-01-01 30450
2010-01-01 31879
2011-01-01 32217
2012-01-01 32800
2013-01-01 32924
2014-01-01 33574
2015-01-01 36215
2016-01-01 32362
2017-01-01 40450
2018-01-01 41101
2019-01-01 39749
2020-01-01 43306
2021-01-01 39807
2022-01-01 42289

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