Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lawrence County, AR
Series ID MHICIUBAR05075A052NCEN
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 1:53 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 19068
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20933
1994-01-01 .
1995-01-01 23872
1996-01-01 .
1997-01-01 26180
1998-01-01 28295
1999-01-01 28565
2000-01-01 30181
2001-01-01 28892
2002-01-01 28452
2003-01-01 29714
2004-01-01 30793
2005-01-01 32047
2006-01-01 30603
2007-01-01 34388
2008-01-01 34002
2009-01-01 34080
2010-01-01 35544
2011-01-01 35614
2012-01-01 31384
2013-01-01 37731
2014-01-01 38399
2015-01-01 37920
2016-01-01 42428
2017-01-01 44097
2018-01-01 44026
2019-01-01 43368
2020-01-01 47474
2021-01-01 49547
2022-01-01 52661

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